[{"data":1,"prerenderedAt":434},["ShallowReactive",2],{"slug-artificial-intelligence-and-the-art-of-medicine":3},{"post":4,"relatedPosts":186,"relatedBooks":351},{"id":5,"date":6,"date_gmt":7,"guid":8,"modified":10,"modified_gmt":11,"slug":12,"status":13,"type":14,"link":15,"title":16,"content":18,"excerpt":21,"author":23,"featured_media":24,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":29,"categories":30,"tags":33,"project_category":47,"contact_email_category":48,"yst_prominent_words":49,"class_list":60,"better_featured_image":82,"acf":119,"yoast_meta":130,"_links":133},23749,"2019-04-30T19:50:53","2019-04-30T17:50:53",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=23749&_wpnonce=dfeedcf9a1&status=auto-draft&type=post","2023-02-17T09:27:51","2023-02-17T08:27:51","artificial-intelligence-and-the-art-of-medicine","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-and-the-art-of-medicine",{"rendered":17},"The Real Era Of The Art Of Medicine Begins With Artificial Intelligence",{"rendered":19,"protected":20},"\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"5px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp style=\"color: #555;font-size: 12px;line-height: 14px\">THIS ARTICLE HAS NOT BEEN UPDATED SINCE 2019. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmagazine\">BROWSE OUR LATEST ARTICLES HERE\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Ftd> \u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>In spite of common fears and perceived dangers, artificial intelligence won’t take the jobs of physicians and won’t monopolize medicine. On the contrary: as A.I. will help automate administrative tasks and take over monotonous day-to-day assignments, it will free up time for medical professionals to finally fulfill the mission they signed up for: to help people on their journeys to health with compassion, creativity, and care. Moreover, rather than wiping it out, A.I. will, in fact, facilitate the art of medicine. Let us show it through the example of the AlphaGo documentary.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Artificial intelligence and the talent of cats\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cstrong>Experts\nhave already achieved marvelous results with artificial intelligence –\nsometimes even nearing the predicting skills of the finest cats\u003C\u002Fstrong>. \u003Ca href=\"https:\u002F\u002Fwww.nytimes.com\u002F2018\u002F01\u002F03\u002Fmagazine\u002Fthe-dying-algorithm.html\">The New York Times\u003C\u002Fa>, in its account of whether computers could sense\ndeath, recounted the story of a 2-year-old black-and-white cat named Oscar reigning\nover one floor of the Steere House nursing home in Rhode Island, who was\napparently better than most doctors at predicting when a terminally ill patient\nwas about to die. Since then, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftop-ai-algorithms-healthcare\">Researchers at Stanford\nUniversity trained an A.I. system\u003C\u002Fa> to increase the number of inpatients who\nreceive end-of-life-care exactly when needed – meaning the smart algorithm is\nable to predict when very seriously ill patients are nearing the end of their\nlives.\u003C\u002Fp>\n\n\n\n\u003Cp>However, that’s just one sign pointing towards the phenomenon that \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-will-redesign-healthcare\u002F\">\u003Cstrong>A.I. will completely move the world of medicine\u003C\u002Fstrong>\u003C\u002Fa>\u003Cstrong>. \u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Ftowardsdatascience.com\u002Fwhy-ai-will-not-replace-radiologists-c7736f2c7d80\">\u003Cstrong>Hugh Harvey, radiologist, and clinical academic estimates\u003C\u002Fstrong>\u003C\u002Fa>\u003Cstrong> that in 10 years using A.I. will be routine in NHS practice. Anna Fernandez, Health Informatics\u002FPrecision Medicine Lead at Booz Allen Hamilton told The Medical Futurist in 2017 that within three years, we would have many machine learning algorithms in active clinical pilot testing and approved use in the US\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002Fradiologist_001-512x288.png\" alt=\"art of medicine\" class=\"wp-image-23750\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002Fradiologist_001-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002Fradiologist_001-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002Fradiologist_001-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002Fradiologist_001-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002Fradiologist_001-2048x1152.png 2048w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Could the art of medicine be threatened?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>As \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftop-ai-algorithms-healthcare\">smart algorithms increasingly become better\u003C\u002Fa>, many physicians are intimidated by their potential. Numerous experts voiced fears about A.I. taking their jobs and destroying the profession. They say the art of medicine, the creative process of understanding the uniqueness of each and every patient and tailoring treatments according to the arisen needs, as well as the highly value-added method of processing inputting information, finding the right response and treating patients accordingly, \u003Ca href=\"https:\u002F\u002Fwww.kevinmd.com\u002Fblog\u002F2016\u002F12\u002Fwill-technology-destroy-art-medicine.html\">might disappear due to new technologies\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>I’m completely sure that A.I. will transform the sense of what it means to be a doctor: some tasks will disappear, while others will be added to the work routine. However, \u003Cstrong>there will never be a situation where the embodiment of automation, either a robot or an algorithm will take the place of a doctor. Also, there is no reason to believe that A.I. would turn the very core of medicine, the art of healing, into a machine-like clockwork\u003C\u002Fstrong>. \u003Cstrong>Quite on the contrary.\u003C\u002Fstrong> Let me show you the example of a documentary, AlphaGo, to prove to you that the art of medicine is not going to vanish, in fact, it’s only getting started. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-512x288.png\" alt=\"art of medicine\" class=\"wp-image-23751\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-2048x1152.png 2048w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>More\npotential configurations than atoms in the universe\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>The Chinese game, Go, is one\nof the most complex and elegant games ever invented. That’s why I never\nunderstood why \u003Ca href=\"https:\u002F\u002Fwww.scientificamerican.com\u002Farticle\u002F20-years-after-deep-blue-how-ai-has-advanced-since-conquering-chess\u002F\">computer scientists had for decades viewed chess as a\nmeter stick for artificial intelligence\u003C\u002Fa>. Unlike chess, where at any given moment in the game,\nthe number of moves approximates thirty, on the 19×19-sized Go board, players\ncan have around 200 potential moves. And the number of possible configurations\non the board is more than the number of atoms in the universe. So if \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century\">the victory of IBM’s Deep Blue over Garry Kasparov in\n1997\u003C\u002Fa> was huge, then \u003Ca href=\"https:\u002F\u002Fwww.wired.com\u002F2016\u002F03\u002Ftwo-moves-alphago-lee-sedol-redefined-future\u002F\">a win from Google Deepmind’s AlphaGo over the 18-times\nGo World Champion, Lee Sedol\u003C\u002Fa> would\nbe gigantic, colossal, massive, monumental, gargantuan? I’m searching for the\nright word, really, but it’s just beyond expression. \u003C\u002Fp>\n\n\n\n\u003Cp>That is because \u003Cstrong>Go requires more than computational power. It needs creativity and intuition, human skills that, many believe, are beyond current artificial intelligence technology. So, let’s set the stage: we are in the year of 2016, and Lee Sedol prepares to sit down for the first time against AlphaGo. Almost 80 million people gather around their TV screens to watch the match. The odds were against AlphaGo – everyone expected an easy win from Sedol. But the bookmaker’s shops lost tremendously. As the machine beat him, the world champion was visibly shaken. How did it happen?\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"334\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FLee-Sedol-versus-AlphaGo-512x334.jpg\" alt=\"art of medicine\" class=\"wp-image-23752\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FLee-Sedol-versus-AlphaGo-512x334.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FLee-Sedol-versus-AlphaGo-768x501.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FLee-Sedol-versus-AlphaGo-1536x1002.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FLee-Sedol-versus-AlphaGo.jpg 2048w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: www.theglobeandmail.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The secret is reinforcement learning and neural networks\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>The key to success was in the way AlphaGo was trained to play the game. The machine that beat Kasparov learned everything from how humans play chess. Deep Blue had \u003Ca href=\"https:\u002F\u002Fwww.scientificamerican.com\u002Farticle\u002F20-years-after-deep-blue-how-ai-has-advanced-since-conquering-chess\u002F\">general-purpose supercomputer processors combined with chess accelerator chips\u003C\u002Fa>. A software programme ran on the supercomputer to carry out part of a chess computation and then hand off the more complex parts of a move to the accelerator, which would then calculate possible moves and outcomes based on a pre-determined set of databases. \u003C\u002Fp>\n\n\n\n\u003Cp>On the other hand, AlphaGo\nuses something of a combination of neural networks and the method of reinforcement\nlearning. \u003Cstrong>In a nutshell, the latter\nmeans that developers don’t tell the algorithm how to play the game. Instead,\nthey describe the rules of the game and let the algorithm play millions of games\n\u003Ca href=\"https:\u002F\u002Fwww.reddit.com\u002Fr\u002FMachineLearning\u002Fcomments\u002F4a7lc4\u002Falphago_vs_deep_blue\u002F\">against itself\u003C\u002Fa>. Later, they\ntell the algorithm which outcomes were the desired ones (the matches it could\nwin), and let the program find its own strategy and rules of how to achieve\nthose outcomes. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>It simply means that the\ncognitive limitations of people (in this case, the developers) are not\nprogrammed into the algorithm. This way, it might find brand new ways of\nplaying the game even though it has been played by millions of people for\nthousands of years. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Over the long course of its evolution, humanity has accrued beliefs and\nmechanisms by which it views and understands its surroundings. Artificial\nintelligence will not be “burdened” by these preconceptions\u003C\u002Fstrong>. Humans could discover that when they watched AlphaGo\nplay. It was able to surprise everyone with a move that nobody else thought of.\nThat’s because the advantage of reinforcement learning is that the cognitive\nlimitation or the learning curves of humans are not built into its algorithm.\nSo it didn’t inherit the boundaries and flaws of human intelligence. It was\nfree to find new and exciting ways to beat the game, things we wouldn’t even\nthink of.\u003C\u002Fp>\n\n\n\n\u003Cp>Sedol and AlphaGo played four more times against each other and AlphaGo won three of those. And for example, in game two, AlphaGo made moves that left experts wonder.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Champion-Lee-Sedol-512x288.jpg\" alt=\"art of medicine\" class=\"wp-image-23753\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Champion-Lee-Sedol-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Champion-Lee-Sedol-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Champion-Lee-Sedol-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Champion-Lee-Sedol-1536x864.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Champion-Lee-Sedol.jpg 1600w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: Ahn Young-joon\u002FAP\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Take away the potential\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>How did Lee Sedol, the beaten champion react after the groundbreaking match? At first, he was deeply disappointed and felt embarrassed. Just imagine how it must have been; his ego was shattered, his whole existence as an undisputed champion came into question. He had to play Go like it was his first time, he faced moves no human opponents would’ve played. And most importantly, he felt like he was representing all humans in a losing battle against something otherworldly.\u003C\u002Fp>\n\n\n\n\u003Cp>However, by the fifth game they played together something happened. It was visible that Sedol had a newfound understanding of what AlphaGo is and who it is. \u003Cstrong>The world champion started to analyze the new ways AlphaGo found to play this inventive and endlessly creative game. And by doing that he became a much better player. He basically stood on the shoulder of technology in order to develop. And that’s exactly how the medical community should look at the digital health revolution as a whole\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"287\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Board-512x287.jpg\" alt=\"art of medicine\" class=\"wp-image-23754\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Board-512x287.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Board-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Board-768x431.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Board-1536x862.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002FGo-Board-2048x1149.jpg 2048w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: www.ideatovalue.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The physicians’ guide to the galaxy\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>In the next years, artificial\nintelligence will find new drugs, new treatments, and therapies through\nmatching combinations that human physicians, pharma companies or medical\ninnovators would never think of. As it won’t be limited by the traditional\npathways and thought patterns used for centuries in medicine, artificial\nintelligence may come up with entirely new solutions – without telling humans\nhow it figured these out. Similarly to the supercomputer in \u003Cem>Douglas Adam’s The Hitchhiker’s Guide To The\nGalaxy\u003C\u002Fem>, where the answer to life, to the universe and everything else is\n42, smart algorithms might just spit out answers to questions without\nexplanation. \u003Cstrong>The real art of medicine\nwill thus be the undertaking to figure out the logical path of how the A.I.\narrived at a certain solution. That will definitely need the high levels of\ncreativity, problem-solving and cognitive skills that the medical community\npossesses.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Thus, we are sure that A.I. is not going to replace us; it’s going to be \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century\">the stethoscope of the 21st century\u003C\u002Fa>. Digital health will give us more health data than ever before, and A.I will help us analyse it to find new ways to treat diseases, to cut down on administrative tasks, to streamline medical practices, to optimize both physicians’ and patients’ schedules. However, we should never forget that they are going to be tools in the hands of physicians – and not the other way around. Compassionate care, empathy, creativity, problem-solving and profound human connection will never cease to be the terrain of physicians, moreover, it will be enhanced by artificial intelligence. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>As we said before, if we embrace these tools, the real art of medicine begins with the era of artificial intelligence.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFIbMejImnxs\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>If you’d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>In spite of common fears and perceived dangers, artificial intelligence won’t take the jobs of physicians and won’t monopolize medicine. On the contrary: as A.I. will help automate administrative tasks and take over monotonous day-to-day assignments, it will free up time for medical professionals to finally fulfill the mission they signed up for: to help people on their journeys to health with compassion, creativity, and care. Moreover, rather than wiping it out, A.I. will, in fact, facilitate the art of medicine. Let us show it through the example of the AlphaGo documentary.\u003C\u002Fp>\n",6,23755,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],504,521,[34,35,36,37,38,39,40,41,42,43,44,45,46],134,1168,137,1203,144,1228,246,1312,271,275,304,313,425,[],[],[50,51,52,53,54,55,56,57,58,59],1831,1883,3195,5189,1661,1715,1723,1801,1805,1819,[61,14,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81],"post-23749","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-future-medicine","tag-ai","tag-smart-algorithm","tag-algorithm","tag-smart","tag-artificial-intelligence","tag-artificial","tag-future","tag-art-of-medicine","tag-health","tag-healthcare","tag-medical","tag-medicine","tag-technology-2",{"id":24,"alt_text":83,"caption":27,"description":27,"media_type":84,"media_details":85,"post":5,"source_url":118},"art of medicine","image",{"width":86,"height":87,"file":88,"sizes":89,"image_meta":116},1920,1080,"2019\u002F04\u002F083_the_art_of_medicine.png",{"medium":90,"large":96,"thumbnail":101,"medium_large":105,"1536x1536":106,"2048x2048":111},{"file":91,"width":92,"height":93,"mime-type":94,"source_url":95},"083_the_art_of_medicine-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F083_the_art_of_medicine-370x208.png",{"file":97,"width":98,"height":99,"mime-type":94,"source_url":100},"083_the_art_of_medicine-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F083_the_art_of_medicine-768x432.png",{"file":102,"width":103,"height":103,"mime-type":94,"source_url":104},"083_the_art_of_medicine-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F083_the_art_of_medicine-150x150.png",{"file":97,"width":98,"height":99,"mime-type":94,"source_url":100},{"file":107,"width":108,"height":109,"mime-type":94,"source_url":110},"083_the_art_of_medicine-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F083_the_art_of_medicine-1536x864.png",{"file":112,"width":113,"height":114,"mime-type":94,"source_url":115},"083_the_art_of_medicine-2048x1152.png","2048","1152","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F083_the_art_of_medicine-2048x1152.png",{"aperture":117,"credit":27,"camera":27,"caption":27,"created_timestamp":117,"copyright":27,"focal_length":117,"iso":117,"shutter_speed":117,"title":27,"orientation":117},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F083_the_art_of_medicine-scaled.png",{"related_posts":20,"related_posts_footer":120,"cta_type":125,"cta_color":27,"subtitle":27,"related_books":126},[121,122,123,124],22987,13172,21023,14848,"keynote",[127,128,129],24762,24759,24765,{"yoast_wpseo_title":131,"yoast_wpseo_metadesc":132,"yoast_wpseo_canonical":15},"The Real Era Of The Art Of Medicine Begins With Artificial Intelligence - The Medical Futurist","Rather than wiping it out, A.I. will, in fact, facilitate the art of medicine. Let us show it through the example of the AlphaGo documentary.",{"self":134,"collection":140,"about":143,"author":146,"replies":149,"version-history":152,"predecessor-version":156,"wp:featuredmedia":160,"wp:attachment":163,"wp:term":166,"curies":182},[135],{"href":136,"targetHints":137},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F23749",{"allow":138},[139],"GET",[141],{"href":142},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[144],{"href":145},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[147],{"embeddable":26,"href":148},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[150],{"embeddable":26,"href":151},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=23749",[153],{"count":154,"href":155},12,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F23749\u002Frevisions",[157],{"id":158,"href":159},49415,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F23749\u002Frevisions\u002F49415",[161],{"embeddable":26,"href":162},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F23755",[164],{"href":165},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=23749",[167,170,173,176,179],{"taxonomy":168,"embeddable":26,"href":169},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=23749",{"taxonomy":171,"embeddable":26,"href":172},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=23749",{"taxonomy":174,"embeddable":26,"href":175},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=23749",{"taxonomy":177,"embeddable":26,"href":178},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=23749",{"taxonomy":180,"embeddable":26,"href":181},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=23749",[183],{"name":184,"href":185,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[187],{"id":124,"date":188,"date_gmt":189,"guid":190,"modified":192,"modified_gmt":193,"slug":194,"status":13,"type":14,"link":195,"title":196,"content":198,"excerpt":200,"author":23,"featured_media":202,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":203,"categories":204,"tags":206,"project_category":218,"contact_email_category":219,"yst_prominent_words":220,"class_list":235,"better_featured_image":249,"acf":289,"yoast_meta":307,"_links":309},"2025-12-16T10:17:08","2025-12-16T09:17:08",{"rendered":191},"http:\u002F\u002Fmedicalfuturist.com\u002F?p=14848","2025-12-16T10:17:14","2025-12-16T09:17:14","top-artificial-intelligence-companies-in-healthcare","https:\u002F\u002Fmedicalfuturist.com\u002Ftop-artificial-intelligence-companies-in-healthcare",{"rendered":197},"Top Artificial Intelligence Companies In Healthcare To Keep An Eye On",{"rendered":199,"protected":20},"\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">The field of medical AI is buzzing. More and more companies set the purpose to disrupt healthcare with the help of artificial intelligence. \u003C\u002Fspan>\u003Cspan style=\"font-weight: 400;\">Given how fast these companies come and go, it can prove to be hard to stay up-to-date with the most promising ones.\u003C\u002Fspan>\u003Cspan style=\"font-weight: 400;\"> Here, I collected the biggest names currently on the market ranging from start-ups to tech giants to keep an eye on in the future.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>To further help you keep up with what AI brings to medicine, The Medical Futurist team made \u003Ca rel=\"noopener\" href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\" target=\"_blank\">an easy-to-digest e-book\u003C\u002Fa> just about that. I highly encourage you to read it and would love to hear your thoughts!\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Artificial Intelligence has to and will redesign healthcare\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>No one doubts that artificial intelligence has unimaginable potential. Within the next couple of years, it will revolutionise every area of our life, including medicine. However, many have their fears and doubts about AI taking over the world, Stephen Hawking even said that \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fwww.bbc.com\u002Fnews\u002Ftechnology-30290540\" target=\"_blank\">the development of full artificial intelligence could spell the end of the human race\u003C\u002Fa>. Nevertheless, I am fully convinced that if humanity prepares appropriately for the AI age, artificial intelligence will prove to be the next successful area of cooperation between humans and machines.\u003C\u002Fp>\n\n\n\n\u003Cp>Concerning healthcare, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-will-redesign-healthcare\u002F\" target=\"_blank\">artificial intelligence will redesign it completely\u003C\u002Fa> – and for the better. AI could help medical professionals in designing treatment plans and finding the best-suited methods for every patient. It might assist repetitive, monotonous jobs, so physicians and nurses can concentrate on their actual jobs instead of e.g. fighting with the treadwheel of bureaucracy.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002FFigure-1-768x432.png\" alt=\"\" class=\"wp-image-51661\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002FFigure-1-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002FFigure-1-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002FFigure-1-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F07\u002FFigure-1-2048x1152.png 2048w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">AI will assist medical professionals and patients in many ways\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>In fact, our\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\" target=\"_blank\"> AI-book guide\u003C\u002Fa> aims to prepare healthcare and medical professionals for the era of human-machine collaboration and is a great way to know more about how such a collaboration can be beneficial to medicine.\u003C\u002Fp>\n\n\n\n\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n\u003Cp>\u003Cem>Mining medical records is the most obvious application of AI in medicine. Collecting, storing, normalising, tracing its lineage – it is the first step in revolutionising existing healthcare systems.\u003C\u002Fem>\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Look at this example which shows that AI is awfully needed\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Just look at this picture taken a few years ago in a Hungarian hospital in the capital city, Budapest. The personnel manages patients’ appointments MANUALLY on a giant blackboard, and I do not even want to comment on the index card holder. The hospital staff told the reporter that their online system can’t deal with multiple appointments for the same patient, so to be on the safe side, they still use the board on the wall. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image alignnone wp-image-14849 size-full\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"653\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fstate-of-affairs-in-hu-hospital.jpeg\" alt=\"Artificial Intelligence Companies in Healthcare\" class=\"wp-image-14849\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fstate-of-affairs-in-hu-hospital.jpeg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fstate-of-affairs-in-hu-hospital-768x576.jpeg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fstate-of-affairs-in-hu-hospital-512x384.jpeg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fstate-of-affairs-in-hu-hospital-333x250.jpeg 333w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">State of Affairs in a Hungarian Hospital – Photo Credit: Tamas Meszaros\u002FIndex\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>It is obvious that such systems are unsustainable and artificial intelligence could offer help. And some entrepreneurs already realized the huge transformative as well as financial potential of medical AI. \u003C\u002Fp>\n\n\n\n\u003Cp>The global AI in healthcare market size was $19.54 billion in 2023 and is expected to reach $490 billion by 2032. The market is truly booming, hence start-ups grow out of nowhere like mushrooms. So, let me introduce you to companies that are on the best way to democratize healthcare through artificial intelligence. It is truly worth keeping an eye on them since they are great partners in building more transparent and effective healthcare.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Mining Medical Records within minutes\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>In the age of Big Data, there is no question about how valuable patient data is. When such tech giants as Google or IBM appear in the field of patient data mining, everyone knows it is something worth doing.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>1) \u003Ca href=\"https:\u002F\u002Fhealth.google\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Google Health\u003C\u002Fa>\u002F\u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Fdeepmind.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cstrong>DeepMind\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>In 2019 DeepMind’s health team \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fdeepmind.com\u002Fblog\u002Fannouncements\u002Fdeepmind-health-joins-google-health\" target=\"_blank\">merged with Google Health\u003C\u002Fa> to “build products that support care teams and improve patient outcomes.” Google Health is tapping into AI’s potential to help in \u003Ca href=\"https:\u002F\u002Fblog.research.google\u002F2024\u002F03\u002Fcomputer-aided-diagnosis-for-lung.html\" target=\"_blank\" rel=\"noreferrer noopener\">lung cancer diagnoses\u003C\u002Fa> and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fblog.google\u002Ftechnology\u002Fai\u002Ficad-partnership-breast-cancer-screening\u002F\" target=\"_blank\">breast cancer screening\u003C\u002Fa>, predicting \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fai.googleblog.com\u002F2018\u002F05\u002Fdeep-learning-for-electronic-health.html\" target=\"_blank\">patient outcomes\u003C\u002Fa>, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fabout.google\u002Fstories\u002Fseeingpotential\u002F\" target=\"_blank\">averting\u003C\u002Fa> blindness, and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fai.googleblog.com\u002Fsearch\u002Flabel\u002FHealth\" target=\"_blank\">more\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>These aren’t just empty words, Google has walked its talk. Together with the company’s DeepMind branch, Google Health has \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.pulselive.co.ke\u002Fbi\u002Ftech\u002Fgoogles-deepmind-created-an-ai-for-spotting-breast-cancer-that-can-outperform-human\u002F5sc7d8r\" target=\"_blank\">come up with an AI-based solution\u003C\u002Fa> for identifying breast cancer. What’s more, the algorithm even outperformed all human radiologists it was pitted against, \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41586-019-1799-6\" target=\"_blank\" rel=\"noreferrer noopener\">on average by 11.5%\u003C\u002Fa>! \u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image wp-image-25895 size-full\">\n\u003Cfigure class=\"aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1044\" height=\"473\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002FGoogle-Health-Google-DeepMind.jpg\" alt=\"\" class=\"wp-image-25895\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002FGoogle-Health-Google-DeepMind.jpg 1044w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002FGoogle-Health-Google-DeepMind-768x348.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002FGoogle-Health-Google-DeepMind-512x232.jpg 512w\" sizes=\"auto, (max-width: 1044px) 100vw, 1044px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: https:\u002F\u002Fwww.neowin.net\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>Also, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fverily.com\u002F\" target=\"_blank\">Verily\u003C\u002Fa>, the life sciences arm of Google’s umbrella corporation, Alphabet, is \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Ffortune.com\u002F2016\u002F04\u002F22\u002Fjessica-mega-google-medical-verily\u002F\" target=\"_blank\">working on its data-collecting initiative\u003C\u002Fa>, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.projectbaseline.com\u002F\" target=\"_blank\">Project Baseline\u003C\u002Fa>. It aims to use some of the same algorithms that power Google’s famous search button in order to analyse what makes people healthy. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Automating Medical Administration\u003C\u002Fh2>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">1) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Faugmedix.com\u002F\" target=\"_blank\">Augmedix\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Medical documentation specialist Augmedix developed solutions to extract data from natural physician-patient conversations and convert it to medical notes in real-time, which are automatically transferred to EHR systems of healthcare providers. Addressing the administrative burdens of healthcare workers and automating these tasks will become a major time saver in the sector, and potentially also a direction which can help reduce burnout symptoms of medical personnel. \u003C\u002Fp>\n\n\n\n\u003Cp>Their latest announcement was the launch of a fully automated, generative \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Faugmedix.com\u002Fresources\u002Fnews\u002Fpress-release\u002Faugmedix-launches-industrys-first-fully-automated-genai-powered-medical-documentation-product-for-emergency-departments\u002F\" target=\"_blank\">AI (GenAI) powered medical documentation tool\u003C\u002Fa> for Emergency Departments. This builds on their \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Faugmedix.com\u002Fresources\u002Fnews\u002Fpress-release\u002Faugmedix-announces-new-ai-medical-documentation-product-augmedix-go-a-clinician-controlled-mobile-app\u002F\" target=\"_blank\">Augmedix Go solution\u003C\u002Fa>, a clinician-controlled mobile app that uses generative AI to instantaneously create a fully automated draft medical note after each patient visit.\u003C\u002Fp>\n\n\n\n\u003Cp>The company published \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Faugmedix.com\u002Fresources\u002Fnews\u002Fpress-release\u002Faugmedix-announces-new-positive-data-and-enhancements-to-its-ambient-ai-product-augmedix-go\u002F\" target=\"_blank\">survey results\u003C\u002Fa> showing “that clinicians in ambulatory care settings save up to one hour or more per clinic day” by using their platform.  \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">2) \u003Ca href=\"https:\u002F\u002Fwww.deepscribe.ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">DeepScribe\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Their AI-powered platform uses ambient voice technology and natural language processing to automate the creation of medical notes. By using advanced speech recognition models, DeepScribe captures natural conversations between physicians and patients, transforming them into comprehensive, accurate clinical notes. The EHR integration means physicians can quickly review and sign off the notes. According to the company, their solution saves doctors up to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.deepscribe.ai\u002Fresources\u002Fmedical-scribe-software-gives-doctors-hours-back-in-their-day-heres-how-theyre-spending-it\" target=\"_blank\">three hours per day\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>DeepSribe says they have built their tool using the world’s largest database of natural patient conversations, and state that it is significantly (32%) more accurate than GPT4. (Which is of course great, but we have to note that GPT was never specifically trained for medical purposes).\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">3) \u003Ca href=\"https:\u002F\u002Fwww.nabla.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Nabla\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Nabla is a company that focuses on developing AI-powered tools for healthcare professionals, with a particular emphasis on medical documentation. Their platform utilizes natural language processing (NLP) and machine learning to streamline clinical workflows, enhance patient communication, and improve the overall quality of care.\u003C\u002Fp>\n\n\n\n\u003Cp>Nabla’s AI Copilot automatically drafts medical notes based on clinician-patient conversations, saving valuable time and reducing the risk of errors. Their AI-powered chatbots can also handle routine patient inquiries, freeing up clinicians for more complex tasks. Additionally, Nabla offers an AI-driven knowledge base that provides clinicians with instant access to relevant medical information, supporting informed decision-making at the point of care.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Disrupting Medical Imaging\u003C\u002Fh2>\n\n\n\n\u003Cp>Medical imaging encompasses every technique and method with which it becomes possible to represent the inner secrets of the body. X-ray, ECG, MRI, ultrasound, tomography – to name a few of the most commonly known ones. And what comes to your mind when you think about these procedures? Usually a huge, unfriendly room in a hospital with an even bigger, expensive-looking, and complicated machine.\u003C\u002Fp>\n\n\n\n\u003Cp>And if you think that, then you are awfully right. Also,\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.theatlantic.com\u002Fhealth\u002Farchive\u002F2016\u002F09\u002Fradiology-gap\u002F501803\u002F\" target=\"_blank\"> two-thirds of the world lacks access to medical imaging\u003C\u002Fa> exactly because current technologies are unwieldy, expensive, and require extensive training. This is exactly what the following innovative AI start-ups want to change.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>1)\u003C\u002Fstrong> \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.butterflynetinc.com\u002F#News\" target=\"_blank\">Butterfly Network\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Jonathan Rothberg established his start-up, Butterfly Network in 2011 with the goal to create a new \u003Ca href=\"https:\u002F\u002Fstore.butterflynetwork.com\u002Fus\u002Fen\u002Fdevice-iq\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">handheld medical imaging device\u003C\u002Fa> that can \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.wired.com\u002F2014\u002F11\u002Fbutterfly-network\u002F\" target=\"_blank\">make both MRI and ultrasounds significantly cheaper and more efficient.\u003C\u002Fa> His ultimate aim is to automate much of the medical imaging process.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"Cardiac Apical 4 Chamber | Clinical Image\" width=\"540\" height=\"960\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FpJCYJk8fCQg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The company’s Butterfly iQ was the first step towards this goal. This portable handheld device uses an Ultrasound-on-Chip technology to replace the traditional transducer system with a single silicon chip, emulating any type of transducer (linear, curved or phased) allowing for whole-body imaging from a single probe. By combining semiconductors, artificial intelligence, and cloud technology in a pocketable form, the Butterfly iQ is making remote medical imaging a reality, a boon to remote communities, some of which are benefiting from such crucial medical information \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nytimes.com\u002F2019\u002F04\u002F15\u002Fhealth\u002Fmedical-scans-butterfly-iq.html\" target=\"_blank\">for the first time\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">2) \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fwww.enlitic.com\u002F\" target=\"_blank\">Enlitic\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Enlitic uses the power of deep learning technologies, specifically its prowess at certain forms of image recognition to harvest the data stemming from radiology images and apply it in unique medical cases. Deep learning actually means the process by which a computer takes in data and then, based on its extensive knowledge drawn from analysing other data, interprets that information.\u003C\u002Fp>\n\n\n\n\u003Cp>The start-up’s technology can interpret a medical image in milliseconds —up to 10,000 times faster than the average radiologist. It integrates seamlessly into any existing health system so as to optimise patient outcomes while empowering physicians. A study even showed that with Enlitic’s help, radiologists \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fai-med.io\u002Fai-med-news\u002Fenlitic-study-radiologists-ai\u002F\" target=\"_blank\">read cases 21% faster\u003C\u002Fa>. In \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.dotmed.com\u002Fnews\u002Fstory\u002F48925\" target=\"_blank\">another study\u003C\u002Fa>, the algorithm had even been able to detect malignant lung nodules up to 18 months before a biopsy was even ordered. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"Enlitic - For Radiologists, By Radiologists.\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fw6C24yxK6io?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The company has \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.auntminnie.com\u002Findex.aspx?sec=ser&sub=def&pag=dis&ItemID=137771\" target=\"_blank\">signed a deal with GE Healthcare\u003C\u002Fa> in August 2022, under the agreement GE will embed Enlitic’s \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.appliedradiology.com\u002Farticles\u002Fenlitic-curie-platform-nets-fda-clearance-ce-marking\" target=\"_blank\">Curie platform\u003C\u002Fa> into GE’s PACS software to improve radiologist workflow and efficiency. The collaboration is designed to improve data standardisation and improve efficiency by eliminating the need for radiologists to spend time on activities like correcting broken hanging protocols.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>3) \u003Ca href=\"https:\u002F\u002Fwww.tempus.com\u002Fradiology\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Tempus Radiology\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Formerly known as Arterys, this team focuses on where the cloud, artificial intelligence, and medical imaging meet. Originally focused on cloud-based platforms for faster radiology image examination and reduced missed detections, Arterys is now a key component of Tempus Labs’ precision medicine platform. \u003C\u002Fp>\n\n\n\n\u003Cp>Their Pixel platform aids radiologists and oncologists by automating image analysis, quantifying lesions, tracking disease progression, and generating detailed reports. These tools integrate seamlessly with existing hospital systems, enhancing workflow efficiency and diagnostic accuracy across various medical fields, including oncology, cardiology, and pulmonology. Tempus Radiology’s AI-driven technology supports precise and timely medical decision-making, ultimately improving patient outcomes.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"LUNG AI\" width=\"640\" height=\"480\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FV8c1xhWK3sc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>When Arterys \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedtechinnovator.org\u002Farterys-and-tempus-precision-merger\u002F\" target=\"_blank\">was acquired by precision medicine AI powerhouse Tempus Labs\u003C\u002Fa> in October 2022, it was the biggest acquisition in the history of imaging AI, highlighting the segment’s continued shift beyond traditional radiology use cases.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>4)\u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Fwww.gehealthcare.com\u002Fproducts\u002Fultrasound\u002Fultrasound-digital-solutions\u002Fverisound-ai\" target=\"_blank\" rel=\"noreferrer noopener\">GE Verisound AI\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Formerly known as Caption Health, which was earlier also known as Bay Lab, the company was acquired by GE Healthcare in 2023. The company’s AI software aims to make it easier for non-specialists to capture high-quality ultrasound images of the heart. This can lead to earlier disease detection and improved patient outcomes, particularly in underserved communities. \u003C\u002Fp>\n\n\n\n\u003Cp>2022 was a strong year for the company: they launched the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.prnewswire.com\u002Fnews-releases\u002Fcaption-health-launches-first-in-home-ultrasound-service-for-heart-health-caption-care-301572183.html\" target=\"_blank\">first in-home ultrasound service\u003C\u002Fa> for heart health in the US, and following the FDA 510(k) clearance, they also \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nsmedicaldevices.com\u002Fnews\u002Fcaption-health-obtains-ce-mark-for-caption-ai-technology-platform\u002F\" target=\"_blank\">obtained a CE mark\u003C\u002Fa> for their AI technology platform to detect cardiac disease.\u003C\u002Fp>\n\n\n\n\u003Cp>The latest news from the new, GE-backed era is the launch of Caption AI, a combination of portability and AI guidance. Caption AI provides real-time visual guidance to prompt the user on probe movements and includes a quality meter to ensure the user is getting the best possible images. Once an image is acquired, the AutoEF feature automatically calculates the left ventricular ejection fraction. The solution automatically captures the best-quality image from each view.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>5) \u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Fbehold.ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cstrong>Behold.ai \u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Using their red dot algorithm based on deep learning models, Behold.ai’s software can classify a CXR and localize its findings as heatmaps. Their AI was trained from over 30,000 images, all of which had been reviewed by experienced UK-certified Consultant Radiologists. This resulted in an algorithm with over 90% accuracy that can detect abnormalities within seconds.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"behold.ai red dot® Artificial Intelligence in action\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFBAjEvjKuoc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The company, headquartered in London, is already collaborating with the NHS and has deployed its AI solution in several NHS Trusts. A \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.behold.ai\u002Fcase-studies\u002Fcalderdale-huddersfield-nhs-trust-case-study\u002F\" target=\"_blank\">recent case study\u003C\u002Fa> has shown that their solution reduced radiologists’ workload by 29% and reduced the waiting time for a diagnosis by 71%.\u003C\u002Fp>\n\n\n\n\u003Cp>In a recent post Chairman and CEO Simon Rasalingham wrote about a new partnership \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.linkedin.com\u002Fposts\u002Fsimon-rasalingham-5b0826_uk-india-partnership-hear-from-the-tech-ugcPost-7226488110354759680-YmI9?utm_source=share&utm_medium=member_desktop\" target=\"_blank\">with Quantum Global AI\u003C\u002Fa>, showing dedication to be part of the upcoming quantum computing revolution – if and when it arrives. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>6) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Foxipit.ai\u002F\" target=\"_blank\">Oxipit\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Lithuanian Oxipit develops automation technologies for medical imaging. The company’s ChestEye is an AI double-reading medical imaging tool. The product analyses final radiologist reports and corresponding medical images. Operating in near-real-time, Oxipit Quality helps to identify reporting errors and improve patient outcomes.\u003C\u002Fp>\n\n\n\n\u003Cp>Oxipit and Astra Zeneca launched a \u003Ca href=\"https:\u002F\u002Fwww.itnonline.com\u002Fcontent\u002Foxipit-and-astrazeneca-join-forces-aid-early-lung-cancer-detection\">joint pilot study\u003C\u002Fa> in 2021, the software was deployed in two major primary care centers in Lithuania. With nearly 50,000 chest X-ray images analysed, ChestEye Quality identified 190 clinically relevant missed findings, 82 of which were potentially missed subtle pulmonary nodules, potentially identifying additional early instances of lung cancer. \u003C\u002Fp>\n\n\n\n\u003Cp>A \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-024-55792-1#Sec11\" target=\"_blank\" rel=\"noreferrer noopener\">2024 study\u003C\u002Fa> showed that the ChestEye algorithm identified \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-024-55792-1\u002Ftables\u002F2\" target=\"_blank\" rel=\"noreferrer noopener\">a good number of conditions\u003C\u002Fa> almost as good as the reference radiologists. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>7) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fclarius.com\u002F\" target=\"_blank\">Clarius\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Clarius develops portable wireless HD ultrasound machines that come with cloud storage and an AI-powered app, which can automatically detect anatomy at the macro level, allowing physicians to scan without having to adjust the system, the algorithm is also used to automatically optimise image quality.\u003C\u002Fp>\n\n\n\n\u003Cp>Following the FDA clearance issued in 2021, the company \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.businesswire.com\u002Fnews\u002Fhome\u002F20220505005072\u002Fen\u002FClarius-Receives-CE-Mark-Certification-for-Seven-New-Ultra-Portable-Wireless-Ultrasound-Scanners-for-Apple-and-Android-Devices\" target=\"_blank\">received CE Mark\u003C\u002Fa> Certifications and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.medicaldevice-network.com\u002Fnews\u002Fclarius-wireless-ultrasound-scanners\u002F\" target=\"_blank\">Health Canada approvals\u003C\u002Fa> for their devices in 2022.  \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"Clarius T-Mode™ for Head & Neck\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F3keEAJEOyp4?start=35&feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>The company had a strong year in 2024. Their OB AI fetal biometric measurement tool \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fclarius.com\u002Fpress\u002Ffda-clears-clarius-ob-ai-for-handheld-ultrasound-leap-forward-in-prenatal-care\u002F\" target=\"_blank\">acquired FDA clearance\u003C\u002Fa>. Clarius also received the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fclarius.com\u002Fpress\u002Fclarius-receives-ce-mark-certification-for-its-dual-array-wireless-handheld-scanner-for-whole-body-ultrasound-imaging\u002F\" target=\"_blank\">CE Mark\u003C\u002Fa> for its dual-array wireless handheld scanner for whole-body ultrasound imaging, which also got regulatory approval in the UK and Australia. They also launched \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fsupport.clarius.com\u002Fhc\u002Fen-us\u002Farticles\u002F23679287296788-Introducing-T-Mode-AI\" target=\"_blank\">T-mode AI\u003C\u002Fa>, which shows an adjacent image with distinctive graphics and text labels that instantly identify one or more anatomical structures for educational purposes. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Speeding up biological data management and drug development from years to weeks \u003C\u002Fh2>\n\n\n\n\u003Cp>Developing pharmaceuticals through clinical trials sometimes takes more than a decade and costs billions of dollars. \u003Cem>Speeding up the process of drug development and making it more cost-effective through AI technologies would have an enormous effect on today’s healthcare\u003C\u002Fem>.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>1) \u003Ca href=\"http:\u002F\u002Fwww.atomwise.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Atomwise\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>This San Francisco-based company aims to reduce the costs of medicine development by using supercomputers to predict in advance from a database of molecular structures which potential medicines will work and which won’t. \u003C\u002Fp>\n\n\n\n\u003Cp>Their technology, called \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.atomwise.com\u002Four-technology\u002F\" target=\"_blank\">AtomNet\u003C\u002Fa>, uses convolutional neural networks, an AI technology similar to the one that enables self-driving cars or that allows you to talk to your phone. By taking cues from millions of experimental affinity measurements and thousands of protein structures, AtomNet is able to predict the binding of small molecules to proteins and thereby identify an effective and safe drug candidate.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"Virtual screening of a kinase with AtomNet technology\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FkojGFv_X9fs?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Atomwise \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.fiercebiotech.com\u002Fbiotech\u002Fsanofi-signs-12b-pact-atomwise-latest-high-value-ai-drug-discovery-deal\" target=\"_blank\">signed a $1.2 billion research collaboration\u003C\u002Fa> with Sanofi in August 2022, it centers on leveraging the AtomNet platform to research small molecules aimed at up to five drug targets. The platform incorporates deep learning for structure-based drug design, enabling the rapid, AI-powered search of Atomwise’s proprietary library of more than 3 trillion synthesizable compounds.\u003C\u002Fp>\n\n\n\n\u003Cp>In a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-024-54655-z\" target=\"_blank\">landmark study\u003C\u002Fa> published in 2024, the company reported that researchers applied AtomNet to 318 targets through collaborations with over 250 academic labs across 30 countries, representing the largest and most comprehensive virtual high-throughput screening campaign to date. AtomNet successfully identified structurally novel hits for 235 of the 318 targets evaluated.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>2) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.recursion.com\u002F\" target=\"_blank\">Recursion\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fwww.businesswire.com\u002Fnews\u002Fhome\u002F20161003005212\u002Fen\u002FRecursion-Pharmaceuticals-Raises-13M-Discover-Drugs-Artificial\" target=\"_blank\">This drug discovery company was founded in 2013\u003C\u002Fa> with the purpose of building a proprietary drug discovery platform that combines the best elements of high-throughput biology and automation with the latest advances in AI to date, they’ve imaged \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.recursionpharma.com\u002Fapproach-2\u002F\" target=\"_blank\">tens of billions of human cells\u003C\u002Fa> and generated over 19 petabytes of biological data to feed their AI. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"RxRx1: Machine Learning Dataset for Drug Discovery\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FX8ZIBydVRwQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>By pairing computer vision with classic machine learning and neural networks, the company is able to conduct \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftwitter.com\u002FRecursionPharma\u002Fstatus\u002F1610712683254542337\" target=\"_blank\">about 2 million experiments every week\u003C\u002Fa>. In this way, Recursion’s algorithm can reveal new drug candidates, mechanisms of action, and potential toxicity, which can lead to novel treatments for patients.\u003C\u002Fp>\n\n\n\n\u003Cp>In 2024 they \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fhyscaler.com\u002Finsights\u002Frecursion-biohive-2-ai-drug-discovery\u002F\" target=\"_blank\">completed BioHive-2\u003C\u002Fa>, an extremely powerful supercomputer, to accelerate the discovery of new drugs using advanced AI and vast biological datasets. In an August announcement, they announced the acquisition of Exscientia, a smaller competitor with a pipeline of treatments for immunology and oncology.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>3) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.deepgenomics.com\u002F\" target=\"_blank\">Deep Genomics\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Toronto-based Deep Genomics created an AI platform that works in concert with its experts to discover and develop genetic medicines, including \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.deepgenomics.com\u002Fpipeline\u002F\" target=\"_blank\">novel therapeutic solutions\u003C\u002Fa> for conditions with high unmet needs. For instance, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.deepgenomics.com\u002Fupdates\u002Fdeep-genomics-nominates-industrys-first-ai-discovered-therapeutic-candidate\u002F\" target=\"_blank\">the company announced\u003C\u002Fa> in September 2019 that it discovered a novel treatment target and corresponding drug candidate for Wilson’s disease. Deep Genomics is also working on its \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.deepgenomics.com\u002Fproject-saturn\u002F\" target=\"_blank\">Project Saturn,\u003C\u002Fa> which it describes as a “toolkit for controlling cell biology along crucial pathways”, which will allow for faster discovery of therapies.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>4) \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fturbine.ai\u002F\" target=\"_blank\">Turbine\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Originating in Hungary, Turbine developed its proprietary Simulated Cell technology, a virtual high-definition tumour cell based on manually curated literature that can be customised into a desired model. Millions of simulated experiments, guided by an AI, can then be run on this model to analyse and better understand the underlying pathomechanism and design the best therapy.\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image wp-image-14944 size-full\">\n\u003Cfigure class=\"aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"481\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fturbine-simulated-cell.png\" alt=\"Turbine - Simulated Cell\" class=\"wp-image-14944\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fturbine-simulated-cell.png 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fturbine-simulated-cell-768x425.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fturbine-simulated-cell-512x283.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F01\u002Fturbine-simulated-cell-452x250.png 452w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: https:\u002F\u002Fturbine.ai\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>The technology is already used in collaborations with Bayer, the University of Cambridge, and top Hungarian research groups to find new cancer cures, speed up the time to market, and save the lives of patients suffering from currently incurable forms of the lethal disease. Turbine \u003Ca href=\"https:\u002F\u002Fturbine.ai\u002Fnews\u002Fturbine-announces-collaboration-to-uncover-biological-mechanisms-of-drug-resistance-in-hematological-cancers\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">entered a collaboration\u003C\u002Fa> with AstraZeneca in 2024 to identify and understand mechanisms of resistance to therapy in hematological cancers. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Health Management\u003C\u002Fh2>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">1) \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fada.com\u002F\" target=\"_blank\">Ada Health\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Ada is a health company based in Berlin that operates an end-user self-assessment app. The app started out as a Platform as a Service (PaaS) for doctors and was adapted in 2016 to focus on the bits patients could understand. The app has almost 14 million users. It takes reported symptoms, matches them with symptoms of patients of similar age and gender, and reports the statistical likelihood that the patient has a certain condition. It is currently available in English, German, Spanish, Portuguese, Swahili, Romanian, and French. \u003C\u002Fp>\n\n\n\n\u003Cp>The app \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedcitynews.com\u002F2022\u002F03\u002Fada-health-platform-now-available-on-epic-is-helping-drive-value-based-care\u002F\" target=\"_blank\">became available\u003C\u002Fa> in Epic App Orchard in May 2022 and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.prnewswire.com\u002Fnews-releases\u002Fada-health-receives-eu-mdr-certification-for-ai-powered-symptom-assessment-platform-301703363.html\" target=\"_blank\">received a Class IIa medical device certification\u003C\u002Fa> in Europe in the fall of 2022. \u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">2) \u003Ca href=\"https:\u002F\u002Fwww.mysense.ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">MySense AI\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>MySense is a wellbeing analytics platform. It collects data related to the activities of daily living through passive IoT sensors. Its AI algorithm learns an individual’s behavior patterns to establish what ‘being well’ looks like for that person. The platform allows patients to monitor their health at home and identify declines in health in real time. \u003C\u002Fp>\n\n\n\n\u003Cp>An interesting cooperation is between the company and the South Warwickshire NHS Foundation Trust, which aims to help people remain in their homes and retain their independence for longer, and the use of their technology \u003Ca href=\"https:\u002F\u002Fhealthcare-digital.com\u002Fdigital-healthcare\u002Fscc-and-south-warwickshire-nhs-pilot-cuts-hospital-visits\" target=\"_blank\" rel=\"noreferrer noopener\">seems to dramatically reduce\u003C\u002Fa> the number of hospital visits.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">3) \u003Ca href=\"https:\u002F\u002Fwww.diabeloop.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Diabeloop\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Diabeloop is a key player in therapeutic AI applied to insulin delivery. Its solution for automated type 1 diabetes treatment calculates the insulin doses patients need throughout the day and administers them in an automated and personalised manner.\u003C\u002Fp>\n\n\n\n\u003Cp>The company \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.drugdeliverybusiness.com\u002Fstudy-automated-insulin-delivery-diabetes-diabeloop\u002F\" target=\"_blank\">announced the results\u003C\u002Fa> of a 12-month data-collecting study in 2022, the cohort included 4,162 patients across Germany, Italy, Spain, The Netherlands, and Switzerland. The study demonstrated time-in-range improvements of 17.6% over one year of real-world use. Patients spent less than 20 minutes per day in hypoglycemia (low blood sugar).\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">4) \u003Ca href=\"https:\u002F\u002Fwww.skinvision.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Skinvision\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Skinvision developed an app to remotely evaluate suspicious skin lesions. Users take a picture of the lesion in question, upload it to the app, fill out a short questionnaire and will receive a preliminary evaluation prepared by the AI algorithm in a few minutes. This preliminary diagnosis will be followed by a final evaluation conducted by a human dermatologist in 1-2 days.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">5) \u003Ca href=\"https:\u002F\u002Fwoebothealth.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Woebot\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Woebot is an AI-powered mental health app that uses cognitive behavioral therapy tools to support teen and adult users in finding their inner peace. The chat algorithm obviously doesn’t substitute a trained psychologist or psychiatrist, however, many users reported that the app helped them take the first step. They often reflected on the positive aspects of using their phones as mental help: you don’t have to leave your apartment and there is no stigma attached to the “sessions”. \u003C\u002Fp>\n\n\n\n\u003Cp>A \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.news-medical.net\u002Fnews\u002F20221219\u002FMental-health-chatbots-can-effectively-engage-people-with-depression-study-shows.aspx\" target=\"_blank\">study found \u003C\u002Fa>that the app was able to effectively engage people with depression in empathetic conversations and assist in the treatment of their symptoms. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Care Coordination and Disease Detection\u003C\u002Fh2>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">1) \u003Ca href=\"https:\u002F\u002Fwww.viz.ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Viz.ai\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Viz.ai is a leading player in the application of artificial intelligence to disease detection and care coordination. Their flagship product, Viz.ai One, is an AI-powered platform that rapidly analyzes medical images to identify suspected diseases, such as strokes, aneurysms, and intracranial hemorrhages. This technology significantly accelerates the diagnostic process, enabling faster treatment decisions and potentially improving patient outcomes.\u003C\u002Fp>\n\n\n\n\u003Cp>Viz.ai also offers Viz Connect, a communication tool that facilitates seamless collaboration among multidisciplinary care teams. By streamlining workflows and enabling real-time communication, Viz Connect ensures that the right specialists are alerted and involved in the patient’s care as quickly as possible. Viz.ai’s solutions are already deployed in numerous hospitals and health systems, helping to transform the way critical care is delivered.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">2) \u003Ca href=\"https:\u002F\u002Fwww.hippocraticai.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Hippocratic AI\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>Hippocratic AI focuses on developing generative AI “agents” that assist healthcare professionals by handling non-diagnostic tasks through empathetic, conversational interactions. These AI agents, powered by Hippocratic’s healthcare-focused large language model (LLM) and NVIDIA’s technology, have been tested and shown to outperform human nurses in some tasks, such as identifying medication impacts and detecting toxic drug dosages.\u003C\u002Fp>\n\n\n\n\u003Cp>Their virtual nurses are capable of handling routine patient calls for checkups, risk assessments, pre-op instructions, and other non-emergency medical interactions. These AI nurses are designed to improve access to care, reduce costs, and free up human clinicians for more complex tasks – and \u003Ca href=\"https:\u002F\u002Fwww.foxbusiness.com\u002Ftechnology\u002Fnvidia-announces-ai-powered-health-care-agents-outperform-nurses-cost-9-hour\" target=\"_blank\" rel=\"noreferrer noopener\">cost approximately $9 per hour\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">3) \u003Ca href=\"https:\u002F\u002Fwww.corti.ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Corti\u003C\u002Fa>\u003C\u002Fh3>\n\n\n\n\u003Cp>By listening in on patient interviews, analysing the caller’s voice and background noises, and taking insights from historical data and artificial neural networks, the AI is able to understand the context and patterns in critical conversations. In this way, it can assist emergency medical professionals by alerting them if, say it identifies a heart attack in progress and making life-saving decisions. Their AI assists dispatchers through the triaging flow, but also listens in to the interview and makes suggestions, like a real-time second opinion.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"Corti Cardiac Arrest Detection Demo\" width=\"640\" height=\"480\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FDfeDjtAQKRc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Dispatchers in Denmark, where the company is based, can identify a heart attack from descriptions over the phone \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.fastcompany.com\u002F40515740\u002Fhaving-a-heart-attack-this-ai-helps-emergency-dispatchers-find-out\" target=\"_blank\">about 73% of the time\u003C\u002Fa>. On the other hand, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.resuscitationjournal.com\u002Farticle\u002FS0300-9572(18)30975-4\u002Ffulltext\" target=\"_blank\">a study\u003C\u002Fa> with Corti showed that the AI performed better than emergency medical dispatchers in identifying cardiac arrest in emergency phone calls.\u003C\u002Fp>\n\n\n\n\u003Cp>If you know about other companies disrupting healthcare through artificial intelligence, \u003Ca href=\"https:\u002F\u002Ftwitter.com\u002FBerci\" target=\"_blank\" rel=\"noreferrer noopener\">please let us know\u003C\u002Fa>!\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\u002Fposts\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"311\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FScreenshot-2020-04-02-at-13.35.51-768x311.png\" alt=\"\" class=\"wp-image-27373\"\u002F\u003C\u002Fa srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FScreenshot-2020-04-02-at-13.35.51-768x311.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FScreenshot-2020-04-02-at-13.35.51.png 1518w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n",{"rendered":201,"protected":20},"\u003Cp>Read about the biggest artificial intelligence companies in healthcare ranging from start-ups to tech giants to keep an eye on in the future.\u003C\u002Fp>\n",25963,{"_acf_changed":20,"footnotes":27},[31,205],499,[207,208,209,210,211,212,34,213,214,215,216,217],289,355,356,517,530,568,626,207,627,260,628,[],[],[221,222,223,57,55,224,225,58,56,226,227,228,229,230,231,232,233,234],1571,1797,1683,1803,1719,1833,1739,2929,1783,2935,1785,1787,1789,1791,[236,14,62,63,64,65,66,67,237,238,239,240,241,242,243,69,244,245,246,247,248],"post-14848","category-healthcare-design","tag-innovation","tag-personalized-medicine","tag-pharma-2","tag-gc1","tag-big-data","tag-drug-development","tag-artificial-inte","tag-digital-health","tag-healthcare-companies","tag-genetics","tag-medical-imaging",{"id":202,"alt_text":250,"caption":27,"description":27,"media_type":84,"media_details":251,"post":124,"source_url":288},"Top Artificial Intelligence Companies in 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medical AI field is rapidly evolving with a mix of startups and tech giants, all set out to revolutionize healthcare\u003C\u002Fp>\n",{"title":303},"\u003Cp>As AI continues to demonstrate its efficacy in healthcare, such as through improved diagnostic accuracy, the industry faces the challenge of integrating these advancements in a way that is safe, accessible and fair to all patients\u003C\u002Fp>\n",{"title":305},"\u003Cp>The first healthcare facets where AI will have a profound impact will likely be administration, medical imaging, and drug development\u003C\u002Fp>\n",{"title":27},{"yoast_wpseo_title":250,"yoast_wpseo_metadesc":308,"yoast_wpseo_canonical":195},"Read about the biggest artificial intelligence companies in healthcare ranging from start-ups to tech giants to keep an eye on in the 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