[{"data":1,"prerenderedAt":432},["ShallowReactive",2],{"slug-towards-creativity-in-healthcare-the-impact-of-digital-technologies-on-medical-specialties-in-an-infographic":3},{"post":4,"relatedPosts":192,"relatedBooks":336},{"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":32,"project_category":50,"contact_email_category":52,"yst_prominent_words":53,"class_list":69,"better_featured_image":95,"acf":120,"yoast_meta":136,"_links":139},24512,"2025-05-09T06:35:36","2025-05-09T04:35:36",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=24512&_wpnonce=09b46f32f2&status=auto-draft&type=post","2025-05-09T06:35:37","2025-05-09T04:35:37","towards-creativity-in-healthcare-the-impact-of-digital-technologies-on-medical-specialties-in-an-infographic","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Ftowards-creativity-in-healthcare-the-impact-of-digital-technologies-on-medical-specialties-in-an-infographic",{"rendered":17},"The Impact Of Digital Health Technologies On The Future Of Medical Specialties In One Infographic",{"rendered":19,"protected":20},"\n\u003Cp>Will digital assistants prescribe medication, will smart algorithms diagnose patients with malignant lesions based on CT scans while robot surgeons do the dirty work in the OR 20 years from now, ousting doctors completely? Highly unlikely, but there are many fears around the advancement of digital health technology up to the point of medical professionals becoming superfluous. While we believe that fears about technology, especially AI, replacing physicians are unfounded, we should acknowledge the impact of fast-paced innovation happening in healthcare in various medical specialties. That’s what our \u003Ca rel=\"noreferrer noopener\" class=\"img\" href=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Fdigital-health-technologies-medical-specialties.png\" target=\"_blank\"\u003C\u002Fa>infographic\u003C\u002Fa> illustrates. Check it out!\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Will technologies really replace doctors?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Hype and fears around technologies, especially artificial intelligence and smart robots taking over jobs are running high in every industry – and the medical world is no exception. A renowned voice in tech, Kai-Fu Lee, founder of venture capital firm Sinovation Ventures \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.cnbc.com\u002F2017\u002F04\u002F27\u002Fkai-fu-lee-robots-will-replace-half-of-all-jobs.html\" target=\"_blank\">told CNBC that\u003C\u002Fa> AI will be bigger than all other tech revolutions, and robots are likely to replace 50 percent of all jobs in the next decade. When looking at healthcare and medical specialties, radiology seems to be the prime target: in late 2016, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftowardsdatascience.com\u002Fwhy-ai-will-not-replace-radiologists-c7736f2c7d80\" target=\"_blank\">Prof Geoffrey Hinton, the godfather of neural networks, said that\u003C\u002Fa> it’s “quite obvious that we should stop training radiologists” as image perception algorithms are very soon going to be demonstrably better than humans. Radiologists are, he said, “the coyote already over the edge of the cliff who hasn’t yet looked down.”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fcrunchbase.com\u002Fperson\u002Fvinod-khosla\">Vinod Khosla\u003C\u002Fa>, Silicon Valley investor and \u003Ca href=\"https:\u002F\u002Fcrunchbase.com\u002Forganization\u002Fsun-microsystems\">Sun Microsystems\u003C\u002Fa> founder often stresses his extreme opinions about technology replacing radiologists, but at one point \u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2019\u002F06\u002F12\u002Fwhy-vinod-khosla-thinks-radiologists-still-practicing-in-10-years-will-be-causing-deaths\u002F\">he even said\u003C\u002Fa> that “any radiologist who plans to practice in 10 years will be killing patients every day,” because machine-powered solutions will have advanced to such a point that they’ll be far more effective than professional human practitioners. He also ruffled many feathers by declaring (in 2012) that in 10-15 years 80% of doctors will be replaced by AI. Well, by now we can announce that he was not right.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"489\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F11\u002Fai-and-doctor-looking-at-xray.png\" alt=\"Artificial Intelligence\" class=\"wp-image-16747\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F11\u002Fai-and-doctor-looking-at-xray.png 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F11\u002Fai-and-doctor-looking-at-xray-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F11\u002Fai-and-doctor-looking-at-xray-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F11\u002Fai-and-doctor-looking-at-xray-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F11\u002Fai-and-doctor-looking-at-xray-444x250.png 444w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Cooperation instead of substitution\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Although many signs point towards the fact that \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-will-redesign-healthcare\u002F\" target=\"_blank\">AI will completely move the world of medicine\u003C\u002Fa>, and many other technologies will also have a transformative effect on the industry, medical outcomes are much better when it comes to human-machine cooperative teams than in the case of humans or machines solving health issues alone. For example, a study showed that the combination of a deep learning system’s predictions with the human pathologist’s diagnoses for identifying metastatic breast cancer resulted in an 85 percent reduction in human error rate.\u003C\u002Fp>\n\n\n\n\u003Cp>However, for cooperating with technologies, first, we should notice how they are reshaping individual medical specialties, then learn what skill sets need to be readjusted, and how to work with technologies as a team. That’s how medical professionals could prepare for the changes coming in the next decade and make sure that they stay at the top of their profession. \u003C\u002Fp>\n\n\n\n\u003Cp>We strongly believe that while technologies won’t replace physicians, those who don’t use technologies will get substituted with professionals who apply technologies in their daily routines.\u003C\u002Fp>\n\n\n\n\u003Cp>Thus, in order to help everyone get a clearer picture of how the latest innovations in healthcare impact individual medical specialties, we created an infographic.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-full\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Fdigital-health-technologies-medical-specialties.png\" target=\"_blank\" rel=\"noreferrer noopener\"\u003C\u002Fa>\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"3200\" height=\"1800\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1.png\" alt=\"\" class=\"wp-image-24513\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1.png 3200w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F0726_dh_replace_physicians_INFOGRAPHIC_v1-512x288.png 512w\" sizes=\"auto, (max-width: 3200px) 100vw, 3200px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>From the repetitive to the creative\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>At first, we tried to conceptualize what aspects and\ntasks of the medical job are usually affected by the latest innovations, such\nas robotics, artificial intelligence, virtual reality, or telemedicine. We have\nto point out that there is no objective scale to accurately measure these\nchanges, and our conceptualization is based on observation rather than\nquantitative weighing.\u003C\u002Fp>\n\n\n\n\u003Cp>Still, we found that tasks requiring the collection, the analysis, and even the interpretation of information, such as diagnostics in general or radiology\u002Fpathology in particular, will speed up due to the use of technologies, freeing up time for other, less data-based duties.\u003C\u002Fp>\n\n\n\n\u003Cp>These assignments could mean more interaction-based activities – at the other extreme of our scale –, where the human factor plays a much more important role than machines ever could. Empathy, compassion, creativity and problem-solving skills all bear a part in interaction-based tasks, such as doctors visiting patients, nurses taking care of children, or any other situation in a medical setting requiring the skills, attention, and empathy of the medical staff. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F114_How-to-play-tricks-on-AI-768x432.png\" alt=\"hack A.I.\" class=\"wp-image-25057\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F114_How-to-play-tricks-on-AI-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F114_How-to-play-tricks-on-AI-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F114_How-to-play-tricks-on-AI-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F114_How-to-play-tricks-on-AI-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F114_How-to-play-tricks-on-AI.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Nevertheless, we believe that after careful consideration of the impact of technologies on these specialties, not only the data- or interaction-based dichotomy could be distilled, but also a move towards more creativity instead of repetitive, monotonous tasks. For example, in the future, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fphysician-burnout\" target=\"_blank\" rel=\"noreferrer noopener\">artificial intelligence could free up time for doctors chained to administrative tasks\u003C\u002Fa>, or various robots, such as \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F9-exciting-medical-robot-facts\">the TUG robot\u003C\u002Fa>, could complete simple assignments for nurses, saving time for patients. Thus, we expect specialties placed on the infographic to heavily “move” towards the creativity endpoint in the decades to come. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What will the future bring for physicians?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>As a consequence, looking at the role and tasks of physicians in general, we expect \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fits-time-for-the-rise-of-e-physicians\" target=\"_blank\" rel=\"noreferrer noopener\">the era of the e-physician to come\u003C\u002Fa>. These empowered physicians will be the ones who use digital technologies in their practice with ease, are enabled by regulations and guidelines, empowered by technologies and experts in hunting down the most reliable and trustworthy digital health sources and innovations. They can also be described as “engaged,” when understanding the feelings and points of view of their patients, giving relevant feedback, and involving them throughout the whole healing process. \u003C\u002Fp>\n\n\n\n\u003Cp>We believe that the skills and approaches that characterise this era of e-physicians, such as face-to-face communication skills, digital literacy, interdisciplinarity, knowing where to find information, and translating large amounts of data into insights for patients, among others, should always have been at the core of practising medicine. But as the saying goes, better later than never.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Will digital assistants prescribe medication, will smart algorithms diagnose patients with malignant lesions based on CT scans, while robot surgeons do the dirty work in the OR 20 years from now, ousting doctors completely? Highly unlikely, but there are many fears around the advancement of digital health technology up to a point of medical professionals becoming superfluous. While we believe that fears about technology, especially A.I., replacing physicians are unfounded, we should acknowledge the impact of fast-paced innovation happening in healthcare on the various medical specialties. That’s what our latest infographic illustrates. Check it out!\u003C\u002Fp>\n",6,48905,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31],521,[33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],246,1008,271,1123,286,1124,287,1443,289,1445,304,337,358,206,425,207,214,[51],950,[],[54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],1833,2015,2017,2261,2281,1617,2391,1631,3347,1681,3989,1715,4029,1723,1739,[70,14,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94],"post-24512","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-future-medicine","tag-future","tag-medical-professionals","tag-health","tag-medical-specialty","tag-infographic","tag-medical-specialties","tag-infographics-2","tag-impact","tag-innovation","tag-medical-professional","tag-medical","tag-nurse","tag-physician","tag-digital","tag-technology-2","tag-digital-health","tag-doctor","project_category-medical-professionals",{"id":24,"alt_text":96,"caption":27,"description":97,"media_type":98,"media_details":99,"post":5,"source_url":119},"TMF AU doctor algorithm radiology digital health","TMF AU doctor algorithm radiology digital health ","image",{"width":100,"height":101,"file":102,"filesize":103,"sizes":104,"image_meta":117},720,405,"2019\u002F08\u002Ftmf_article_350-01_2_720.png",63595,{"medium":105,"thumbnail":112},{"file":106,"width":107,"height":108,"mime-type":109,"filesize":110,"source_url":111},"tmf_article_350-01_2_720-370x208.png","370","208","image\u002Fpng","52893","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002Ftmf_article_350-01_2_720-370x208.png",{"file":113,"width":114,"height":114,"mime-type":109,"filesize":115,"source_url":116},"tmf_article_350-01_2_720-150x150.png","150","24004","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002Ftmf_article_350-01_2_720-150x150.png",{"aperture":118,"credit":27,"camera":27,"caption":27,"created_timestamp":118,"copyright":27,"focal_length":118,"iso":118,"shutter_speed":118,"title":27,"orientation":118},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002Ftmf_article_350-01_2_720.png",{"related_posts":20,"related_posts_footer":121,"cta_type":126,"cta_color":27,"subtitle":27,"related_books":127,"key_takeaways":131},[122,123,124,125],13255,22321,23816,24083,"subscribe",[128,129,130],24765,24762,24759,[132,134],{"title":133},"\u003Cp>Digital health technologies will have an impact on medical specialties, but each specialty will experience a different one.\u003C\u002Fp>\n",{"title":135},"\u003Cp>We summarized and analyzed that in one infographic that will hopefully help physicians and healthcare decision-makers see where those specialties are heading.\u003C\u002Fp>\n",{"yoast_wpseo_title":137,"yoast_wpseo_metadesc":138,"yoast_wpseo_canonical":15},"The Impact Of Digital Health Technologies On The Future Of Medical Specialties In One Infographic - The Medical Futurist","The Medical Futurist's latest infographic about the impact of technologies on medical specialties - or how innovation fosters creativity in healthcare.",{"self":140,"collection":146,"about":149,"author":152,"replies":155,"version-history":158,"predecessor-version":162,"wp:featuredmedia":166,"wp:attachment":169,"wp:term":172,"curies":188},[141],{"href":142,"targetHints":143},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24512",{"allow":144},[145],"GET",[147],{"href":148},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[150],{"href":151},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[153],{"embeddable":26,"href":154},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[156],{"embeddable":26,"href":157},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24512",[159],{"count":160,"href":161},24,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24512\u002Frevisions",[163],{"id":164,"href":165},58757,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24512\u002Frevisions\u002F58757",[167],{"embeddable":26,"href":168},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F48905",[170],{"href":171},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24512",[173,176,179,182,185],{"taxonomy":174,"embeddable":26,"href":175},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=24512",{"taxonomy":177,"embeddable":26,"href":178},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=24512",{"taxonomy":180,"embeddable":26,"href":181},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=24512",{"taxonomy":183,"embeddable":26,"href":184},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=24512",{"taxonomy":186,"embeddable":26,"href":187},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24512",[189],{"name":190,"href":191,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[193],{"id":125,"date":194,"date_gmt":195,"guid":196,"modified":198,"modified_gmt":199,"slug":200,"status":13,"type":14,"link":201,"title":202,"content":204,"excerpt":206,"author":23,"featured_media":208,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":209,"categories":210,"tags":212,"project_category":226,"contact_email_category":227,"yst_prominent_words":228,"class_list":234,"better_featured_image":250,"acf":282,"yoast_meta":291,"_links":294},"2019-06-06T15:34:52","2019-06-06T13:34:52",{"rendered":197},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=24083&_wpnonce=50064319a4&status=auto-draft&type=post","2023-02-27T14:31:34","2023-02-27T13:31:34","fda-approvals-for-algorithms-in-medicine","https:\u002F\u002Fmedicalfuturist.com\u002Ffda-approvals-for-algorithms-in-medicine",{"rendered":203},"FDA Approvals For Smart Algorithms In Medicine In One Giant Infographic",{"rendered":205,"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>Mental health algorithms\nmimicking empathy? A.I. outsmarting human doctors? Simple big data analytical\nsoftware presented with clever marketing tactics? It’s difficult to assess the\nactual state of play when it comes to artificial intelligence in healthcare. Moreover,\nthere’s no database that contains all the smart algorithms worth applying to\nmedical processes. That’s the reason why we decided to collect every artificial\nintelligence-based algorithm that already received FDA approval – meaning that\nthey are proven, reliable, and accurate solutions enabled by an official\nregulator for medical use. Let’s see the infographic in details!\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The\nfactors of algorithmic healing\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>When\nwe started to assess the universe of smart algorithms in healthcare, we took\ninto account temporal and spatial factors, accuracy and credibility, as well as\nmedical specialties where A.I. algorithms have a chance to make the care\nprocess better. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Concerning the timeline, we noticed an uptake in the appearance of new solutions in the last years, and you can see that also in the infographic\u003C\u002Fstrong>. In 2014, only AliveCor’s algorithm for the detection of atrial fibrillation was approved. Two years later, the FDA found further four solutions ready for clinical use, while in 2017, six new algorithms were approved by the US regulator. This exponential growth just accelerated last year, when the FDA endorsed 23 algorithms in medicine. \u003Cstrong>As the first approvals in 2019 also show, we do not expect the trend to slow down. On the contrary, we will most likely see dozens of new medical A.I. solutions on the market.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Looking at the spatial factors, while \u003Ca href=\"https:\u002F\u002Fwww.analyticsinsight.net\u002Ftop-6-artificial-intelligence-hubs-in-2018-an-analysis-for-their-localization\u002F\">the most important hubs for A.I. development\u003C\u002Fa> are the Silicon Valley, the Boston-New York area, Montréal, London, Bangalore, and Beijing, and the same can be applied in medicine and healthcare, \u003Cstrong>the most decisive factor for compiling FDA approved algorithms was that it is the only yardstick for credible and accurate medical software\u003C\u002Fstrong>. Although in Europe, the \u003Ca href=\"https:\u002F\u002Fwww.ema.europa.eu\u002Fen\">European Medicine Agency\u003C\u002Fa> has guidelines and statements about artificial intelligence, \u003Cstrong>the FDA is the only regulator with efficient instruments in its toolkit to access the credibility and accuracy of algorithms for medical purposes in detail\u003C\u002Fstrong>. \u003Cstrong>It also means that we had to stay on the U.S. market and consider the developments within the FDA’s jurisdiction.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"304\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions-512x304.png\" alt=\"amazing technologies changing dermatology\" class=\"wp-image-16278\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions-512x304.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions-768x456.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions-421x250.png 421w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F09\u002Fdeep-learning-classifying-lesions.png 870w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: Deep Learning Algorithm Classifying Lesions. Fig. 1b, Esteva, Kuprel et al., 2017\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What does an FDA approval mean?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cstrong>Regarding the meaning of the FDA\napproval itself, the listed algorithms embrace the entire scale of approvals \u003Ca href=\"https:\u002F\u002Fkenblockconsulting.com\u002Ffda-submissions\">starting from\n510(K) submission through de novo to premarket approval (PMA)\u003C\u002Fa>\u003C\u002Fstrong>\u003Cstrong>.\u003C\u002Fstrong> The first one\nrefers to a premarket submission to demonstrate that a device aiming for market\nlaunch but not requiring premarket approval is as safe and effective as other\nsimilar instruments with PMA. The latter actually means the FDA process of\nscientific and regulatory review to evaluate the safety and effectiveness of\nmedical devices supporting and\u002For sustaining human life and the most stringent\nof the device marketing applications. \u003C\u002Fp>\n\n\n\n\u003Cp>The de novo pathway for device marketing rights was added to address novel devices of low to moderate risk that do not have a valid predicate device – for example in the case of software solutions such as smart algorithms. Upon successful review of a de novo submission, FDA creates a classification for the instrument, a regulation if necessary, and identifies any special controls required for future premarket submissions of substantially equivalent devices. As the infographic would have been too complex if we had broken down the FDA approval into various subtypes, we left it as a single category for the time being.\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\u002F06\u002FAI-In-Medicine-512x288.jpeg\" alt=\"algorithms in medicine\" class=\"wp-image-24085\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-512x288.jpeg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-370x208.jpeg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-768x432.jpeg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine-1536x864.jpeg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FAI-In-Medicine.jpeg 1600w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: www.statnews.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Which\nmedical specialties are the most algorithm-friendly?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>When looking at the infographic itself, the distribution of smart algorithms in the various medical specialties becomes visible. \u003Cstrong>Radiology and cardiology seem to be heavily populated by artificial intelligence-based solutions, there are already seven approved algorithms in cardiology, while 16 in radiology. However, geriatrics, orthopedics or pathology seem to be less prone to A.I. Certain medical specialties do not even appear in the list yet, such as pulmonology, dermatology, surgery, OB\u002FGyn or forensic medicine.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Although we should not draw definitive conclusions from only this infographic, as it constitutes a snapshot of the current state of play not revealing anything about the trends. For example, in the case of pathology, the number of FDA-approved algorithms might be low at the moment, artificial intelligence is a promising technology in the field – although it might need the coming years to catch up with the number of solutions in radiology or cardiology.\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\u002F2018\u002F05\u002Fai-doctor-image-512x288.jpg\" alt=\"digital health technologies\" class=\"wp-image-17943\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image-444x250.jpg 444w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fai-doctor-image.jpg 870w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>These two fields represent the peak areas of artificial intelligence research due to several reasons. First and foremost, computer vision is one of the fastest-growing fields in A.I. development, and medical imaging has both the data and the visuality that smart algorithms need to thrive. As a consequence,  \u003Ca href=\"https:\u002F\u002Fspectrum.ieee.org\u002Fthe-human-os\u002Frobotics\u002Fartificial-intelligence\u002Fcomputers-match-human-accuracy-in-screening-for-breast-cancer-risk\">researchers found that commercial software for automatically classifying breast density\u003C\u002Fa>, and thus detecting breast cancer, can perform on par with human radiologists. What’s more, in April 2018, \u003Ca href=\"https:\u002F\u002Fspectrum.ieee.org\u002Fthe-human-os\u002Fbiomedical\u002Fimaging\u002Fmedical-imaging-ai-software-vulnerable-to-covert-attacks\">the FDA approved the first AI system\u003C\u002Fa> that can be used for medical diagnosis without the input of a human clinician. \u003C\u002Fp>\n\n\n\n\u003Cp>Without\nfurther ado, let’s see a rundown of the algorithms.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The list of FDA-approved algorithms in medicine\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Check out our infographic here in detail and see the list below. Click on it for the high-resolution version.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09.png\" target=\"_blank\" rel=\"noreferrer noopener\"\u003C\u002Fa>\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"440\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09-512x440.png\" alt=\"\" class=\"wp-image-25260\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09-512x440.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09-768x660.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FThe-Medical-Futurist-FDA-approved-AI-algorithms-in-medicine-2019-09.png 1257w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>AliveCor supports the \u003Ca href=\"https:\u002F\u002Fwww.alivecor.com\u002Fpress\u002Fpress_release\u002Falivecor-named-no-1-artificial-intelligence-company-in-fast-companys-2018-most-innovative-companies\u002F\">early detection of atrial fibrillation\u003C\u002Fa>, developed an ECG analytics platform – just as PhysiQ Heart Rhythm Module, Apple, and \u003Ca href=\"https:\u002F\u002Fventurebeat.com\u002F2017\u002F07\u002F05\u002Fcardiologs-ecg-analysis-platform-receives-fda-clearance\u002F\">Cardiologs\u003C\u002Fa> – and a six-lead smartphone ECG.\u003C\u002Fli>\n\n\n\n\u003Cli>QbCheck helps with the \u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F23361114\">diagnosis and treatment of ADHD\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>InPen \u003Ca href=\"https:\u002F\u002Fdiatribe.org\u002Fnew-apps-and-devices-diabetesmine-d-data-exchange-and-innovation-summit\">tracks insulin dosage\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>One Drop Blood Glucose \u003Ca href=\"https:\u002F\u002Fonedrop.today\u002Fblogs\u002Fblog\u002Fdecision-support-one-drop-can-predict-the-future-with-automated-decision-support\">quantifies blood glucose levels\u003C\u002Fa> and automatically sends the data to the paired app.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.itnonline.com\u002Fcontent\u002Fphilips-integrates-reacts-tele-ultrasound-platform-lumify-portable-systems\">Lumify\u003C\u002Fa> offers ultrasound image diagnosis.\u003C\u002Fli>\n\n\n\n\u003Cli>Cantab Mobile acts as a tool for \u003Ca href=\"https:\u002F\u002Fwww.cambridgecognition.com\u002Fblog\u002Fentry\u002Fcantab-mobile-experience-of-use-of-a-digital-memory-assessment-tool-in-care\">memory problem assessment for the elderly\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>EnsoSleep powers a \u003Ca href=\"https:\u002F\u002Fxconomy.com\u002Fwisconsin\u002F2018\u002F03\u002F06\u002Fensodata-raises-1-5m-to-develop-a-i-powered-sleep-analysis-tools\u002F\">tool for recognizing sleep disorders\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>AmCAD-US \u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F28071987\">evaluates thyroid nodules\u003C\u002Fa> and categorizes nodule characteristics.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"http:\u002F\u002Fen.lepumedical.com\u002F\">Lepu Medical\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.biotricity.com\u002Fbioflux\u002F\">BioFlux\u003C\u002Fa> detect arrhythmias.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fsubtlemedical.com\u002F\">Subtle Medical\u003C\u002Fa> offers a medical imaging platform.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fbaylabs.io\u002F\">Bay Labs\u003C\u002Fa> offers echocardiogram analysis.\u003C\u002Fli>\n\n\n\n\u003Cli>Viz.AI \u003Ca href=\"https:\u002F\u002Fwww.radiologybusiness.com\u002Fsponsored\u002F22221\u002Ftopics\u002Fartificial-intelligence\u002Fvizai-artificial-intelligence-stroke-software\">detects stroke on CT scans\u003C\u002Fa> and helps clinicians win the race against time.\u003C\u002Fli>\n\n\n\n\u003Cli>Arterys’ algorithm is able to \u003Ca href=\"https:\u002F\u002Fwww.medgadget.com\u002F2018\u002F02\u002Farterys-fda-clearance-liver-ai-lung-ai-lesion-spotting-software.html\">spot cancerous lesions in liver and lungs\u003C\u002Fa> on CT and MR images.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.empatica.com\u002F\">Empatica\u003C\u002Fa> helps detec epileptic seizures.\u003C\u002Fli>\n\n\n\n\u003Cli>Cognoa’s algorithm built into an app \u003Ca href=\"https:\u002F\u002Fwww.globenewswire.com\u002Fnews-release\u002F2019\u002F02\u002F06\u002F1711471\u002F0\u002Fen\u002FCognoa-Receives-FDA-Breakthrough-Designations-for-Autism-Diagnostic-and-Digital-Therapeutic-Devices.html\">helps diagnose autism in kids\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.medtronic-diabetes.co.uk\u002Fabout-diabetes\u002Fcontinuous-glucose-monitoring\">Medtronic\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.presspogo.com\u002F\">POGO\u003C\u002Fa> monitor and predict blood glucose changes.\u003C\u002Fli>\n\n\n\n\u003Cli>Idx autonomously detects diabetic retinopathy using retinal images.\u003C\u002Fli>\n\n\n\n\u003Cli>Icometrix helps \u003Ca href=\"https:\u002F\u002Ficometrix.com\u002Fnews\u002Ficometrix-expands-AI-portfolio-with-new-icobrain-reports-to-aid-the-diagnosis-of-dementia\">neurologists interpret brain MR images\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>Imagen \u003Ca href=\"https:\u002F\u002Fhealthitanalytics.com\u002Fnews\u002Ffda-clears-marketing-for-ai-algorithm-to-detect-wrist-fractures\">aids healthcare providers in identifying wrist fractures\u003C\u002Fa> with similar accuracy as human radiologists.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fneuronewsinternational.com\u002Fneuralbot-system-receives-fda-clearance\u002F\">NeuralBot\u003C\u002Fa> offers a solution for transcranial Doppler probe positioning.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.mindmotionweb.com\u002Fmindmotion-go\u002F\">MindMotion Go\u003C\u002Fa> advances its algorithm for motion capture for the elderly.\u003C\u002Fli>\n\n\n\n\u003Cli>Dreamed assists \u003Ca href=\"http:\u002F\u002Fwww.israelscienceinfo.com\u002Fen\u002Fmedecine\u002Fdreamed-diabetes-israel-recoit-le-marquage-ce-pour-sa-plateforme-de-gestion-du-diabete-de-type-1\u002F\">healthcare professionals in the management of Type 1 diabetes\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>Zebra Medical Vision detects, quantifies coronary artery calcification, and analyses chest X-rays.\u003C\u002Fli>\n\n\n\n\u003Cli>Aidoc is able to \u003Ca href=\"https:\u002F\u002Fwww.prnewswire.com\u002Fnews-releases\u002Fa-first-in-the-world-of-radiology-aidoc-receives-fda-clearance-to-enable-radiologists-to-triage-patients-using-ai-300693930.html\">flag brain bleeding in head CT images\u003C\u002Fa> and pulmonary embolism.\u003C\u002Fli>\n\n\n\n\u003Cli>iCAD classifies breast density and detects breast cancer as accurately as radiologists.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.itnonline.com\u002Fcontent\u002Fscreenpoint-medical-receives-fda-clearance-transpara-mammography-ai-solution\">ScreenPoint Medical\u003C\u002Fa> assists radiologists with the reading of screening mammograms.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.accessdata.fda.gov\u002Fcdrh_docs\u002Fpdf18\u002FK180647.pdf\">Briefcase\u003C\u002Fa> triages and diagnoses time-sensitive patients.\u003C\u002Fli>\n\n\n\n\u003Cli>RightEye Vision System \u003Ca href=\"https:\u002F\u002Fwww.medtechdive.com\u002Fnews\u002Frighteyes-eye-tracking-system-gets-fda-clearance\u002F539306\u002F\">tracks eye movements for identifying visual tracking impairment\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fmaxq.ai\u002F\">MaxQ\u003C\u002Fa> develops an acute intracranial hemorrhage triage algorithm.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.icadmed.com\u002Fprofoundai.html\">ProFound AI\u003C\u002Fa> detects and diagnoses suspicious lesions.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.resetforrecovery.com\u002F\">ReSET-O\u003C\u002Fa> offers an adjuvant treatment of substance abuse disorder.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fverily.com\u002Fprojects\u002Fsensors\u002Fstudy-watch\u002F\">Verily\u003C\u002Fa> developed an ECG feature on the \u003Ca href=\"https:\u002F\u002Fverily.com\u002Fprojects\u002Fsensors\u002Fstudy-watch\u002F\">Study Watch\u003C\u002Fa>.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fpaige.ai\u002F\">Paige.AI\u003C\u002Fa> provides a clinical-grade algorithm in pathology.\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Ca href=\"http:\u002F\u002Fclients3.weblink.com.au\u002Fpdf\u002FRHT\u002F02055462.pdf\">FerriSmart\u003C\u002Fa> created a machine learning solution for the quantification of liver iron concentration.\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>If you find any inaccuracies or you think we missed one, please do let us know so we can update the infographic. Thank you!\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",{"rendered":207,"protected":20},"\u003Cp>Mental health algorithms mimicking empathy? A.I. outsmarting human doctors? Simple big data analytical software presented with clever marketing tactics? We decided to collect every artificial intelligence-based algorithm that already received FDA approval – meaning that they are proven, reliable, and accurate solutions enabled by an official regulator for medical use.\u003C\u002Fp>\n",24087,{"_acf_changed":20,"footnotes":27},[211,31],504,[213,214,33,215,35,216,217,218,219,220,221,222,223,224,225],236,1257,1350,1353,275,372,411,134,1168,144,1203,166,1228,[],[],[65,67,229,230,57,231,232,233],1819,1883,2689,4699,5067,[235,14,71,72,73,74,75,236,76,237,238,77,239,79,240,241,242,243,244,245,246,247,248,249],"post-24083","category-artificial-intelligence","tag-fda-2","tag-digital-solutions","tag-smart-health","tag-approval","tag-healthcare","tag-radiology","tag-software","tag-ai","tag-smart-algorithm","tag-artificial-intelligence","tag-smart","tag-cardiology","tag-artificial",{"id":208,"alt_text":251,"caption":27,"description":252,"media_type":98,"media_details":253,"post":125,"source_url":281},"algorithms in medicine","The first open access, online database of FDA-approved A.I.-based algorithms The Medical Futurist Institute (TMFI) pioneered the first open-access, online database of FDA-approved A.I.-based algorithms.",{"width":254,"height":255,"file":256,"sizes":257,"image_meta":280},1920,1080,"2019\u002F06\u002F0606_FDA_infographic_16x9.png",{"medium":258,"large":261,"thumbnail":266,"medium_large":269,"1536x1536":270,"2048x2048":275},{"file":259,"width":107,"height":108,"mime-type":109,"source_url":260},"0606_FDA_infographic_16x9-370x208.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-370x208.png",{"file":262,"width":263,"height":264,"mime-type":109,"source_url":265},"0606_FDA_infographic_16x9-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-768x432.png",{"file":267,"width":114,"height":114,"mime-type":109,"source_url":268},"0606_FDA_infographic_16x9-150x150.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-150x150.png",{"file":262,"width":263,"height":264,"mime-type":109,"source_url":265},{"file":271,"width":272,"height":273,"mime-type":109,"source_url":274},"0606_FDA_infographic_16x9-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-1536x864.png",{"file":276,"width":277,"height":278,"mime-type":109,"source_url":279},"0606_FDA_infographic_16x9-2048x1152.png","2048","1152","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-2048x1152.png",{"aperture":118,"credit":27,"camera":27,"caption":27,"created_timestamp":118,"copyright":27,"focal_length":118,"iso":118,"shutter_speed":118,"title":27,"orientation":118},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic_16x9-scaled.png",{"related_posts":283,"related_posts_footer":287,"cta_type":27,"cta_color":27,"subtitle":27,"related_books":20},[284,285,286],22987,13172,17629,[288,289,290],13650,14848,10785,{"yoast_wpseo_title":292,"yoast_wpseo_metadesc":293,"yoast_wpseo_canonical":201},"FDA Approvals For Smart Algorithms In Medicine In One Giant Infographic - The Medical Futurist","The Medical Futurist decided to collect all FDA-approved smart algorithms in medicine in one single infographic. Check it out!",{"self":295,"collection":300,"about":302,"author":304,"replies":306,"version-history":309,"predecessor-version":313,"wp:featuredmedia":317,"wp:attachment":320,"wp:term":323,"curies":334},[296],{"href":297,"targetHints":298},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24083",{"allow":299},[145],[301],{"href":148},[303],{"href":151},[305],{"embeddable":26,"href":154},[307],{"embeddable":26,"href":308},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24083",[310],{"count":311,"href":312},17,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24083\u002Frevisions",[314],{"id":315,"href":316},49635,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24083\u002Frevisions\u002F49635",[318],{"embeddable":26,"href":319},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F24087",[321],{"href":322},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24083",[324,326,328,330,332],{"taxonomy":174,"embeddable":26,"href":325},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=24083",{"taxonomy":177,"embeddable":26,"href":327},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=24083",{"taxonomy":180,"embeddable":26,"href":329},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=24083",{"taxonomy":183,"embeddable":26,"href":331},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=24083",{"taxonomy":186,"embeddable":26,"href":333},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24083",[335],{"name":190,"href":191,"templated":26},[337],{"id":130,"date":338,"date_gmt":339,"guid":340,"modified":342,"modified_gmt":343,"slug":344,"status":13,"type":345,"link":346,"title":347,"content":349,"excerpt":351,"author":353,"featured_media":354,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":355,"class_list":356,"better_featured_image":359,"acf":377,"yoast_meta":401,"_links":403},"2019-09-06T21:56:27","2019-09-06T19:56:27",{"rendered":341},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=24759","2023-03-12T18:06:35","2023-03-12T17:06:35","the-technological-future-of-medical-specialties","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Fthe-technological-future-of-medical-specialties\u002F",{"rendered":348},"The Technological Future of Medical Specialties",{"rendered":350,"protected":20},"\n\u003Cp>In this e-book we specify in detail how the appearance of artificial intelligence, sensors, wearables, VR\u002FAR or robots affect each medical specialty in order to be able to discern what skills physicians will need in the future. We aim to show how physicians of the various professions can successfully prepare for the sweeping changes coming with the waves of technology. \u003C\u002Fp>\n",{"rendered":352,"protected":20},"\u003Cp>In this e-book we specify in detail how the appearance of artificial intelligence, sensors, wearables, VR\u002FAR or robots affect each medical specialty in order to […]\u003C\u002Fp>\n",10,49971,[55],[357,345,358,72,74,75],"post-24759","type-book",{"id":354,"alt_text":27,"caption":27,"description":27,"media_type":98,"media_details":360,"post":130,"source_url":376},{"width":361,"height":362,"file":363,"filesize":364,"sizes":365,"image_meta":375},320,414,"2019\u002F09\u002Ffuture-of-medical-specialties.png",24785,{"medium":366,"thumbnail":371},{"file":367,"width":368,"height":108,"mime-type":109,"filesize":369,"source_url":370},"future-of-medical-specialties-320x208.png","320","52681","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties-320x208.png",{"file":372,"width":114,"height":114,"mime-type":109,"filesize":373,"source_url":374},"future-of-medical-specialties-150x150.png","26567","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties-150x150.png",{"aperture":118,"credit":27,"camera":27,"caption":27,"created_timestamp":118,"copyright":27,"focal_length":118,"iso":118,"shutter_speed":118,"title":27,"orientation":118},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002Ffuture-of-medical-specialties.png",{"leanpub_url":378,"buy_button_text":379,"preview":380},"https:\u002F\u002Fleanpub.com\u002Ffuture-of-medical-specialties","Get it on Leanpub",[381,383,385,387,389,391,393,395,397,399],{"image":382},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-01.png",{"image":384},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-02.png",{"image":386},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-03.png",{"image":388},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-04.png",{"image":390},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-05.png",{"image":392},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-06.png",{"image":394},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-07.png",{"image":396},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-08.png",{"image":398},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-09.png",{"image":400},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FThe-Technological-Future-of-Medical-Specialties-2021-Preview-10.png",{"yoast_wpseo_title":402,"yoast_wpseo_metadesc":27,"yoast_wpseo_canonical":346},"The Technological Future of Medical Specialties - The Medical Futurist",{"self":404,"collection":409,"about":412,"author":415,"replies":418,"wp:featuredmedia":421,"wp:attachment":424,"wp:term":427,"curies":430},[405],{"href":406,"targetHints":407},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook\u002F24759",{"allow":408},[145],[410],{"href":411},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fbook",[413],{"href":414},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fbook",[416],{"embeddable":26,"href":417},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F10",[419],{"embeddable":26,"href":420},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24759",[422],{"embeddable":26,"href":423},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F49971",[425],{"href":426},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24759",[428],{"taxonomy":186,"embeddable":26,"href":429},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24759",[431],{"name":190,"href":191,"templated":26},1785956559708]