[{"data":1,"prerenderedAt":457},["ShallowReactive",2],{"slug-7-things-you-cant-expect-from-a-i-in-healthcare":3},{"post":4,"relatedPosts":218,"relatedBooks":341},{"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":44,"project_category":58,"contact_email_category":66,"yst_prominent_words":67,"class_list":79,"better_featured_image":119,"acf":153,"yoast_meta":162,"_links":165},30705,"2020-10-22T10:00:00","2020-10-22T08:00:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=30705&_wpnonce=de965400f8&status=auto-draft&type=post","2020-10-27T12:21:30","2020-10-27T11:21:30","7-things-you-cant-expect-from-a-i-in-healthcare","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002F7-things-you-cant-expect-from-a-i-in-healthcare",{"rendered":17},"7 Things You Can’t Expect From A.I. In Healthcare",{"rendered":19,"protected":20},"\n\u003Cp>Welcome back to our two-part series that explores the potential of A.I. in healthcare! \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F7-things-you-can-expect-from-a-i-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">The first article\u003C\u002Fa> was all about what we can expect from the technology in the foreseeable future. We explored 7 of its possibilities that will enhance healthcare as we know it, in a way that parallels science-fiction depictions.\u003C\u002Fp>\n\n\n\n\u003Cp>With A.I.-based technologies’ ability to elucidate medical conditions in unconventional ways and even forecasting public health crises, it might seem like the technology will replace every facet of healthcare. \u003C\u002Fp>\n\n\n\n\u003Cp>However, this is far from being the case. In particular, the human factor is very much relevant and missing from A.I. That’s why there are as many things we can’t expect from such algorithms as we can expect from them. Let’s see what we certainly won’t see from the technology within the next decade.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>1. A.I. will replace medical professionals\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>No, as smart and capable as they might sound, A.I. will not replace medical professionals. This fear of an A.I. takeover is felt across virtually all industries, \u003Ca href=\"https:\u002F\u002Fwww.vox.com\u002Fa\u002Fnew-economy-future\u002Fcomputers-replace-doctors-teachers\" target=\"_blank\" rel=\"noreferrer noopener\">including healthcare\u003C\u002Fa>. While it’s true that such software will become integral parts of the healthcare system, they will function more as \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-reasons-artificial-intelligence-wont-replace-physicians\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">tools aiding human medical experts\u003C\u002Fa> in perfecting their craft.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed-youtube aligncenter wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"5 Reasons Why A.I. Will Not Replace Physicians - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fa1QguDFMBM8?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>Among the reasons is that such advanced technologies need competent professionals to operate and interpret their analyses. Additionally, human healthcare workers will always be needed to solve multi-layered challenges that require creativity. But what is also true is that medical professionals who embrace A. I. will replace those who do not work with it.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>2. A.I. will provide as much empathy as a real-life doctor-patient relationships can\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>While some A.I. might eventually be endowed with “\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.forbes.com\u002Fsites\u002Fcognitiveworld\u002F2019\u002F12\u002F17\u002Fempathy-in-artificial-intelligence\u002F#f8d94a663270\" target=\"_blank\">artificial empathy\u003C\u002Fa>” skills, they will not replace a real-life doctor-patient relationship. On the contrary, the age of A.I. \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-age-of-a-i-will-value-compassionate-care-more-than-ever\u002F\" target=\"_blank\">will reinforce compassionate care\u003C\u002Fa> more than ever.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-768x432.png\" alt=\"A.I. in medicine\" class=\"wp-image-23751\" srcset=\"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_v2-370x208.png 370w, 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, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-512x288.png 512w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>As these tools manage repetitive and monotonous tasks, they will free up time for doctors; meaning they can spend more time with their patients. They will be able to devote more time for the more nuanced empathy and compassion that treating patients require, which is only achievable through the human touch. In fact, with A.I. handling \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.healthaffairs.org\u002Fdo\u002F10.1377\u002Fhblog20180914.711688\u002Ffull\u002F\" target=\"_blank\">administrative tasks\u003C\u002Fa> and providing \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Finsidebigdata.com\u002F2018\u002F09\u002F28\u002Fai-technologies-will-create-doctor-patient-face-time\u002F\" target=\"_blank\">diagnostic insights\u003C\u002Fa>, physicians will need to hone their empathy and communication skills to better attend to their patients.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>3. A.I. will improve privacy-related issues in healthcare\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>This is contrary to the functioning of artificial intelligence algorithms. For these software to function, they feed on data, without which they will fail. As Big Tech companies invest heavily in healthcare A.I., they will continuously go after data, which often come from patients.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-768x432.jpg\" alt=\"Health Insurance\" class=\"wp-image-16535\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk-444x250.jpg 444w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fhealth-data-at-risk.jpg 870w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: https:\u002F\u002Fhbr.org\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>For instance, Google, Amazon and Facebook \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fyour-privacy-in-the-digital-health-era-the-medical-futurists-guide\">are all engaged\u003C\u002Fa> in the healthcare A.I. race and aren’t showing signs of slowing down. Amazon Alexa and the NHS partnered in 2019 for the A.I.-based Alexa assistant to offer health advice. But reports showed how Amazon \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.verdict.co.uk\u002Falexa-privacy-concerns\u002F\" target=\"_blank\">secretly stored\u003C\u002Fa> recordings of Alexa users. Previously, the Royal Free NHS Foundation Trust was found to share large amounts of patient data to Google’s DeepMind A.I. branch to develop a new platform. But patients \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.medicaldevice-network.com\u002Ffeatures\u002Fdata-privacy-advertising-amazon-and-artificial-intelligence\u002F\" target=\"_blank\">weren’t properly informed\u003C\u002Fa> that their data was being used for this purpose. Such privacy issues will only worsen with A.I., as we explored in \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fyour-privacy-in-the-digital-health-era-the-medical-futurists-guide\" target=\"_blank\">our latest e-book\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>4. A.I. will create fully autonomous surgical robots\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>There’s \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fyoutu.be\u002FLwDe845aDt4\" target=\"_blank\">a scene in \u003Cem>Star Wars: Episode III – Revenge of the Sith\u003C\u002Fem>\u003C\u002Fa> where robots autonomously operate a severely burnt and amputated Anakin Skywalker. These machines perform life-saving reconstructive surgery on Anakin, enclosing him in the iconic Darth Vader suit, without any human supervision. Other sci-fi movies \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-coolest-medical-robots-in-sci-fi-movies\u002F\" target=\"_blank\">have similar depictions\u003C\u002Fa> of fully-autonomous A.I. surgical robots performing complex operations without human assistance. This will likely remain within the realm of science-fiction as robots will rather serve as assistants or even equipment in the OT.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fartificial-intelligence-helping-doctors-768x512.jpg\" alt=\"\" class=\"wp-image-17901\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fartificial-intelligence-helping-doctors-768x512.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fartificial-intelligence-helping-doctors-512x341.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fartificial-intelligence-helping-doctors-375x250.jpg 375w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F05\u002Fartificial-intelligence-helping-doctors.jpg 870w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: newscientist.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Surgeries require fine actions and even creative thinking because the anatomy of each individual is different. Robots can assist in basic tasks such as providing surgical tools or function as tools for delicate actions such as the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.davincisurgery.com\u002F\" target=\"_blank\">da Vinci surgical system\u003C\u002Fa>. But these require human surgeons to function and it’s the latter that can better handle unforeseen complications as the surgery is ongoing.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>5. A.I. will make medical decisions alone\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Having an A.I. not only aid in clinical decision-making but also make medical decisions on its own sounds attractive. In particular, it could help alleviate the psychological toll on the medical staff when it comes to morally challenging decisions. Amidst the COVID-19 pandemic, physicians \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fchoosing-between-life-and-death-during-covid-19-the-a-i-trolley-problem\u002F\" target=\"_blank\">had to choose whom to prioritise for life-saving medical resources\u003C\u002Fa> due to overwhelmed facilities. Would leaving the decision to some software take off the responsibility from healthcare workers?\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F167_v2-01-1-768x432.png\" alt=\"The COVID-trolley problem\" class=\"wp-image-28105\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F167_v2-01-1-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F167_v2-01-1-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F167_v2-01-1-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F167_v2-01-1.png 2000w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Even if an A.I. can mine medical records and genomic data for the best insights, leaving medical decisions only up to the software is not the best course of action. There are several issues with such an approach as it requires the collective input of ethicists, programmers and medical professionals. Moreover, A.I. is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fa-i-bias-in-healthcare\u002F\" target=\"_blank\">not immune to bias\u003C\u002Fa> as we shall see in the next point. We won’t see such software make medical decisions on their own. Instead, they will provide insights to help human professionals take better actions.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>6. A.I. will not have bias\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Artificial intelligence is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fa-i-bias-in-healthcare\u002F\" target=\"_blank\">no stranger to biases\u003C\u002Fa>. Expecting these smart algorithms to make unbiased decisions, even in healthcare, is not something we should do. The dataset on which an A.I. is trained is extremely crucial; but healthcare data is, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fqz.com\u002F1367177\u002Fif-ai-is-going-to-be-the-worlds-doctor-it-needs-better-textbooks\u002F\" target=\"_blank\">as Quartz puts it\u003C\u002Fa>, “\u003Cem>extremely male and extremely white\u003C\u002Fem>.” This has serious implications when A.I. tools analyse data outside of this demographic.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"240\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F10-21-2018-Digitalist_Q1_AI-Bias_F-768x240.jpg\" alt=\"A.I. Bias\" class=\"wp-image-24879\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F10-21-2018-Digitalist_Q1_AI-Bias_F-768x240.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F10-21-2018-Digitalist_Q1_AI-Bias_F-1536x480.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F10-21-2018-Digitalist_Q1_AI-Bias_F-512x160.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F10-21-2018-Digitalist_Q1_AI-Bias_F.jpg 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: www.geneticliteracyproject.org\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Datasets fed to algorithms are ripe with ingrained social injustices. Additionally, the programmers working on such software can, consciously or unconsciously, influence an A.I. They can unconsciously implement values and beliefs about the world into the code while willingly leaving out some parameters that would be more representative of other populations.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>7. A.I. will reason like humans do \u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Smart algorithms will indeed be able to execute tasks and fulfil roles assigned to them, but they will not reason like humans do. This is because they don’t possess consciousness and won’t understand human reasoning when it comes to healthcare.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\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>\u003C\u002Fdiv>\n\n\n\n\u003Cp>This is demonstrated by \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhow-to-play-tricks-on-artificial-intelligence\u002F\" target=\"_blank\">several studies on adversarial attacks\u003C\u002Fa> on A.I.-based algorithms. By tweaking images with minimal differences to the human eye, the software misclassify diagnoses which humans wouldn’t. Such simple tricks that can greatly influence A.I. but not humans show the importance of human reasoning that is absent from A.I.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Preparing for the age of A.I.\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>With progress in the A.I. field, we will surely come across even more applications of the technology in healthcare. And these developments will further highlight what we can’t expect of these software. \u003C\u002Fp>\n\n\n\n\u003Cp>As such, to prepare for the age of A.I., it will become increasingly important to better understand the technology and how it “thinks.” Whether it is learning a programming language or \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-i-learnt-about-a-i-by-playing-1000-hours-of-chess-in-a-year\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">playing games like chess\u003C\u002Fa> or Go, you will be better prepared to tackle upcoming  A.I.-related issues when you better understand the language of A.I., which is the language of anticipation. \u003C\u002Fp>\n\n\n\n\u003Cp>We also invite you to dive deeper into the world of A.I. in healthcare by getting a copy of \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\" target=\"_blank\">our e-book dedicated to the subject\u003C\u002Fa>. We designed it as a guide for the era of human-machine collaboration. \u003C\u002Fp>\n\n\n\n\u003Cp>Additionally, The Medical Futurist Institute recently published two studies in the prestigious npj Digital Medicine journal. The \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fnew-study-the-state-of-artificial-intelligence-based-fda-approved-medical-devices-and-algorithms-an-online-database\" target=\"_blank\">first paper\u003C\u002Fa> raises the importance of clearer regulations over medical A.I., while \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fa-physicians-visual-guide-to-artificial-intelligence\u002F\" target=\"_blank\">the second paper\u003C\u002Fa> offers a concise guide to help medical professionals in better understanding the basics of A.I. and its potentials in medicine. Both are freely accessible in open-access and we hope you’ll find them useful!\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cem>Note: This is the second part of our series on what A.I. can and can’t do. Check our the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F7-things-you-can-expect-from-a-i-in-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">first part here\u003C\u002Fa>!\u003C\u002Fem>\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Welcome back to our two-part series that explores the potential of A.I. in healthcare! The first article was all about what we can expect from […]\u003C\u002Fp>\n",16,30779,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33,34,35,36,37,38,39,40,41,42,43],504,798,491,521,490,499,800,516,489,497,512,515,799,[45,46,47,48,49,50,51,52,53,54,55,56,57],1386,3085,804,1433,821,1474,839,1555,6255,134,625,6303,728,[59,60,61,62,63,64,65],947,948,949,950,951,952,953,[],[68,69,70,71,72,73,74,75,76,77,78],2145,3089,3347,3603,1661,3615,1683,1715,1723,1739,1819,[80,14,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118],"post-30705","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-digital-health-research","category-empowered-patients","category-future-medicine","category-future-of-pharma","category-healthcare-design","category-healthcare-policy","category-medical-education","category-personalized-medicine","category-portable-diagnostics","category-robotics","category-science-fiction","category-security-privacy","tag-doctors","tag-covid19","tag-empowered-patients","tag-privacy","tag-a-i","tag-bias","tag-robots","tag-chess","tag-nhs","tag-ai","tag-surgical-robot","tag-amazon-alexa","tag-empathy","project_category-company","project_category-developers","project_category-educators","project_category-medical-professionals","project_category-patients","project_category-policy-makers","project_category-researchers",{"id":24,"alt_text":120,"caption":27,"description":121,"media_type":122,"media_details":123,"post":151,"source_url":152},"things you can and can't expect from A.I.","Offering a clear picture of where we are heading with A. I. in healthcare, part two: 7 things you can not expect from artificial intelligence in healthcare.","image",{"width":124,"height":125,"file":126,"sizes":127,"image_meta":149},1920,1080,"2020\u002F10\u002F214_tmf-01.png",{"medium":128,"large":134,"thumbnail":139,"medium_large":143,"1536x1536":144},{"file":129,"width":130,"height":131,"mime-type":132,"source_url":133},"214_tmf-01-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-370x208.png",{"file":135,"width":136,"height":137,"mime-type":132,"source_url":138},"214_tmf-01-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-768x432.png",{"file":140,"width":141,"height":141,"mime-type":132,"source_url":142},"214_tmf-01-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-150x150.png",{"file":135,"width":136,"height":137,"mime-type":132,"source_url":138},{"file":145,"width":146,"height":147,"mime-type":132,"source_url":148},"214_tmf-01-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01-1536x864.png",{"aperture":150,"credit":27,"camera":27,"caption":27,"created_timestamp":150,"copyright":27,"focal_length":150,"iso":150,"shutter_speed":150,"title":27,"orientation":150},"0",30701,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F10\u002F214_tmf-01.png",{"cta_type":154,"cta_color":27,"subtitle":27,"related_books":155,"related_posts_footer":158,"related_posts":20},"subscribe",[156,157],25985,24762,[159,160,161],17427,10983,13650,{"yoast_wpseo_title":163,"yoast_wpseo_metadesc":164,"yoast_wpseo_canonical":15},"7 Things You Can't Expect From A.I. In Healthcare - The Medical Futurist","Offering a clear picture of where we are heading with A. I. in healthcare, part two: 7 things you can NOT expect from artificial intelligence in healthcare.",{"self":166,"collection":172,"about":175,"author":178,"replies":181,"version-history":184,"predecessor-version":188,"wp:featuredmedia":192,"wp:attachment":195,"wp:term":198,"curies":214},[167],{"href":168,"targetHints":169},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F30705",{"allow":170},[171],"GET",[173],{"href":174},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[176],{"href":177},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[179],{"embeddable":26,"href":180},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F16",[182],{"embeddable":26,"href":183},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=30705",[185],{"count":186,"href":187},8,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F30705\u002Frevisions",[189],{"id":190,"href":191},30889,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F30705\u002Frevisions\u002F30889",[193],{"embeddable":26,"href":194},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F30779",[196],{"href":197},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=30705",[199,202,205,208,211],{"taxonomy":200,"embeddable":26,"href":201},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=30705",{"taxonomy":203,"embeddable":26,"href":204},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=30705",{"taxonomy":206,"embeddable":26,"href":207},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=30705",{"taxonomy":209,"embeddable":26,"href":210},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=30705",{"taxonomy":212,"embeddable":26,"href":213},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=30705",[215],{"name":216,"href":217,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[219],{"id":161,"date":220,"date_gmt":221,"guid":222,"modified":224,"modified_gmt":225,"slug":226,"status":13,"type":14,"link":227,"title":228,"content":230,"excerpt":232,"author":234,"featured_media":235,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":236,"categories":237,"tags":238,"project_category":248,"contact_email_category":249,"yst_prominent_words":250,"class_list":259,"better_featured_image":270,"acf":290,"yoast_meta":295,"_links":298},"2021-09-02T10:11:43","2021-09-02T08:11:43",{"rendered":223},"http:\u002F\u002Fmedicalfuturist.com\u002F?p=13650","2021-09-16T10:49:05","2021-09-16T08:49:05","artificial-intelligence-will-redesign-healthcare","https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-will-redesign-healthcare",{"rendered":229},"Artificial Intelligence In Healthcare: 10 Medical Fields A.I. Will Change Completely",{"rendered":231,"protected":20},"\n\u003Cp class=\"has-text-align-left\">\u003Cstrong>Artificial intelligence in healthcare has an unimaginable potential. Within the next couple of years, it will revolutionize every area of our life, including medicine. I am fully convinced that it will redesign healthcare completely – and for the better. Let’s take a look at the promising solutions it offers.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Chr class=\"wp-block-separator\"\u002F>\n\n\n\n\u003Cp class=\"has-text-align-left\">I am certain that healthcare will be the lead industrial area of such a revolution and one of the major catalysts for change is going to be artificial intelligence. Check the updated version of \u003Ca href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\">\u003Cstrong>A Guide To Artificial Intelligence In Healthcare\u003C\u002Fstrong>\u003C\u002Fa> to understanding, anticipating and controlling artificial intelligence.\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=\"A Guide To Artificial Intelligence In Healthcare: E-Book\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FzyQEPvR0YB0?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\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Big Data and Artificial Intelligence Will Revolutionize Healthcare\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp class=\"has-text-align-left\">With the evolution of digital capacity, more and more data is produced and stored in the digital space. The amount of available digital data is growing at a mind-blowing speed, doubling every two years. In 2013, it encompassed 4.4 zettabytes, however by 2020 the digital universe – the data we create and copy annually – \u003Ca href=\"http:\u002F\u002Fwww.emc.com\u002Fleadership\u002Fdigital-universe\u002F2014iview\u002Fexecutive-summary.htm\">will reach 44 zettabytes\u003C\u002Fa>, or 44 trillion gigabytes (!).\u003C\u002Fp>\n\n\n\n\u003Cp class=\"has-text-align-left\">Usually, we make sense of the world around us with the help of rules and processes which build up a system. The world of Big Data is so huge that we will need artificial intelligence (A.I.) to be able to keep track of it.\u003C\u002Fp>\n\n\n\n\u003Cp class=\"has-text-align-left\">A.I. is already on our wrists, in our cars, in the searches we do or what we are offered to buy. \u003Ca href=\"https:\u002F\u002Fwww.managedhealthcareexecutive.com\u002Fview\u002Falexa-can-you-transform-healthcare-0\">Siri, Alexa, Cortana, OK Google or Amazon’s Echo\u003C\u002Fa> voice assistant services use natural language processing and do a set of valuable things, from driving directions to finding an open slot for a meeting. Imagine this efficiency in healthcare!\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=\"AI in Healthcare: Top  A.I. Algorithms In Healthcare - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FG1IsZeFR_Rk?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 class=\"has-text-align-left\">A.I. in healthcare and medicine could organize patient routes or treatment plans better, and also provide physicians with literally all the information they need to make a good decision.\u003C\u002Fp>\n\n\n\n\u003Cp class=\"has-text-align-left\">There are already several great examples of A.I. in healthcare showing potential implications and possible future uses that could make us quite optimistic. However, these solutions will only revolutionize medicine and healthcare if they are available to the average, mainstream users – and not only to the richest medical institutions (because they are too expensive) or to a handful of experts (because they are too difficult to use).\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Let’s Peek Into The Future of Artificial Intelligence in Healthcare\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp> Starting from the design of treatment plans through assistance in repetitive jobs to medication management or drug creation, artificial intelligence is already actively present in several areas of medicine. And it is only the beginning.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Better organised healthcare logistics\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Artificial intelligence in healthcare and medicine could better organise patient routes or treatment plans and provide physicians with literally all the information they need to make a good decision. \u003C\u002Fp>\n\n\n\n\u003Cp>Integrating an A.I. assistant into the healthcare system could guide patients and optimise the time spent during their medical journey with \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcan-we-eliminate-waiting-times-from-healthcare-forever\u002F\">a Waze-like approach\u003C\u002Fa>. It can determine where the queue is shorter and which test will take less time to perform for each patient. By connecting with \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fride-hailing-platforms-solve-problems-transportation-healthcare\u002F\">non-emergency medical transportation (NEMT) rides\u003C\u002Fa> offered by ride-hailing platforms like Uber and Lyft, the algorithm can suggest which healthcare facility will be more time-efficient to visit and direct patients. In this way, the time spent by each patient is optimised while they have a better healthcare experience.\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\u002F2018\u002F04\u002Ffuture-of-ambulance-and-uber-768x432.jpg\" alt=\"\" class=\"wp-image-17697\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Ffuture-of-ambulance-and-uber-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Ffuture-of-ambulance-and-uber-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Ffuture-of-ambulance-and-uber-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Ffuture-of-ambulance-and-uber-444x250.jpg 444w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F04\u002Ffuture-of-ambulance-and-uber.jpg 870w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>Mining medical records\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>The most obvious application of artificial intelligence in healthcare is data management. A.I. collecting, storing, normalising, tracing data is the first step in revolutionising the existing healthcare systems. These bureaucratic tasks and managing health IT and EHR systems are, in fact, among the significant reported causes of \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fphysician-burnout\u002F\">physician burnout\u003C\u002Fa>. But these tasks aren’t related to the practice of medicine. Algorithms can automate such administrative tasks to free up valuable time for healthcare professionals to dedicate to their patients and elucidate medical conditions.\u003C\u002Fp>\n\n\n\n\u003Cp class=\"has-text-align-left\">Google originally launched its \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fdeepmind.com\u002F\" target=\"_blank\">Google Deepmind Health\u003C\u002Fa> project, to mine the data of medical records in order to provide better and faster health services. Know more about Google’s plans in healthcare from our article, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgoogles-masterplan-for-healthcare\" target=\"_blank\">Google’s Masterplan for Healthcare\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>\u003Cstrong>Diagnosis\u003C\u002Fstrong> and treatment plans\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>A.I. algorithms can further assist in decision-making to improve the accuracy of diagnoses. For instance, \u003Ca href=\"https:\u002F\u002Fwww.futurity.org\u002Fartificial-intelligence-breast-cancer-detection-2261322\u002F#:~:text=boosts%20breast%20cancer%20detection%20accuracy,-January%2022nd%2C%202020&text=An%20artificial%20intelligence%20tool%E2%80%94trained,analysis%2C%20a%20new%20study%20finds.\">several\u003C\u002Fa> \u003Ca href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fnews\u002Fasia-pacific\u002Fai-helps-radiologists-improve-accuracy-breast-cancer-detection-lesser-recalls\">studies\u003C\u002Fa> show that with the help of A.I., radiologists enhance the accuracy of cancer detection from radiological scans. In future scenarios, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-and-the-art-of-medicine\u002F\">medical A.I. trained via reinforcement learning\u003C\u002Fa> could discover treatments and cures for conditions when human medical professionals could not.\u003C\u002Fp>\n\n\n\n\u003Cp>IBM Watson launched its dedicated program \u003Ca href=\"http:\u002F\u002Fwww.ibm.com\u002Fwatson\u002Fwatson-oncology.html\">for oncologists\u003C\u002Fa>, providing clinicians with evidence-based treatment options. \u003Ca href=\"https:\u002F\u002Fwww.ibm.com\u002Fwatson-health\u002Fsolutions\u002Fcancer-research-treatment\">Watson for Oncology\u003C\u002Fa> has an advanced ability to analyse the meaning and context of structured and unstructured data in clinical notes and reports that may be critical to selecting a treatment pathway. By combining attributes from the patient’s file with clinical expertise, external research, and data, the program identifies potential treatment plans for a patient. Know more about \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-in-healthcare-2021\" target=\"_blank\">IBM’s Moonshot Ambition In Healthcare\u003C\u002Fa> in our article.\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\u002F2020\u002F05\u002FAI-doctor-image-768x432.jpg\" alt=\"\" class=\"wp-image-28295\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image-1536x864.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image.jpg 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>Assisting repetitive jobs\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp class=\"has-text-align-left\">Physicians, nurses, and other medical staff members have plenty of cumbersome monotonous and repetitive tasks to complete every day. \u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F25626223\">According to a study\u003C\u002Fa>, in the United States, the average doctor spends 8.7 hours per week on administration. But these types of functions and procedures can be automated – and they indeed should be. ​​Artificial intelligence-based solutions will eliminate the need for human labour and will replace human resources in medical jobs that people didn’t like anyway. Such solutions will ease medical professionals’ burdens for example in \u003Ca href=\"https:\u002F\u002Fwww.businessinsider.com\u002Fai-in-healthcare-administration-report\">administration\u003C\u002Fa> or after-hours \u003Ca href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fnews\u002Fai-powered-mobile-assistant-eliminates-after-hours-charting-orthoindy-docs\">charting\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>Getting the most out of in-person and online consultations\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp class=\"has-text-align-left\">Based in the UK, Babylon Health built a patient-centered remote consultation service. It already works in \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-in-rwanda\u002F\">Rwanda\u003C\u002Fa> and also \u003Ca href=\"https:\u002F\u002Fwww.pulsetoday.co.uk\u002Fnews\u002Ftechnology\u002Fnhs-england-assessing-babylon-ai-triage-for-wider-rollout\u002F\">in the UK\u003C\u002Fa>, offering medical A.I.-consultation based on personal medical history and common medical knowledge. \u003Ca href=\"https:\u002F\u002Fwww.technologyreview.com\u002Fs\u002F600868\u002Fthe-artificially-intelligent-doctor-will-hear-you-now\u002F\">Users report the symptoms of their illness to the app\u003C\u002Fa>, which checks them against a database of diseases using speech recognition. After taking into account the patient’s history and circumstances, Babylon offers an appropriate course of action. Remote consultation gained momentum with the pandemic, and it will remain with us in the forthcoming future.\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=\"Get Used To It: Remote Care Is The New Norm \u002F Episode 20 - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F3uWSuK8Wu0o?start=503&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\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>Health assistance and medication management\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp class=\"has-text-align-left\">Everybody, please welcome the world’s first virtual nurse, Molly developed by the medical start-up \u003Ca href=\"http:\u002F\u002Fsense.ly\">Sense.ly\u003C\u002Fa>. It has a smiling, amiable face coupled with a pleasant voice and its exclusive goal is to help people with monitoring their condition and treatment. The interface uses machine learning to support patients with chronic conditions in-between doctor’s visits. It provides proven, customized monitoring and follow-up care, with a strong focus on chronic diseases.\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=\"Sensely virtual health assistant "Molly"\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FAU1nGpOmZpQ?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 class=\"has-text-align-left\">Also, there is already a solution for monitoring whether patients are taking their medications for real. The \u003Ca href=\"https:\u002F\u002Fwww.aicure.com\u002F\">AiCure app\u003C\u002Fa> supported by The National Institutes of Health uses a smartphone’s webcam and A.I. to autonomously confirm that patients are adhering to their prescriptions, or with better terms, supporting them to make sure they know how to manage their condition. This is very useful for people with serious medical conditions, for patients who tend to go against the doctor’s advice and participants in clinical trials.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>Precision medicine\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Artificial intelligence will have a significant impact on genetics and genomics as well. \u003Ca href=\"http:\u002F\u002Fwww.deepgenomics.com\u002F\">Deep Genomics\u003C\u002Fa> aims at identifying patterns in giant data sets of genetic information and medical records, looking for mutations and linkages to disease. They invent a new generation of computational technologies that can tell doctors what will happen within a cell when DNA is altered by genetic variation, whether natural or therapeutic. A.I. has the biggest potential to analyze vast amounts of data and offer insights to create personalized solutions and targeted treatments.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>Drug creation\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Developing pharmaceuticals through clinical trials sometimes takes more than a decade and costs billions of dollars. Speeding this up and making it more cost-effective would have an affect today’s healthcare and how innovations reach everyday medicine. A.I. slashes time and cost of drug discovery and development significantly.\u003C\u002Fp>\n\n\n\n\u003Cp>A.I. pharma startup Insilico Medicine in 2019 identified a potential new drug \u003Ca href=\"https:\u002F\u002Fwww.technologyreview.com\u002F2019\u002F09\u002F03\u002F133175\u002Fan-ai-system-identified-a-potential-new-drug-in-just-46-days\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">in only 46 days\u003C\u002Fa>. Its software achieved this by analysing hordes of data that would take humans years to go through. During the Ebola epidemic in 2015, \u003Ca href=\"https:\u002F\u002Fwww.atomwise.com\u002F2015\u002F03\u002F24\u002Fnew-ebola-treatment-using-artificial-intelligence\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Atomwise used its A.I. algorithm\u003C\u002Fa> to identify two drugs with significant potential to reduce Ebola infectivity. It accomplished this effort in less than a day.\u003C\u002Fp>\n\n\n\n\u003Cp>Another excellent example of using big data for patient management is \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fberghealth.com\u002F\" target=\"_blank\">Berg Health\u003C\u002Fa>, a Boston-based biopharma company that mines data to determine why some people survive diseases and thus improve current treatment or create new therapies. They combine A.I. with the patients’ biological data to map out the differences between healthy and disease-friendly environments and help discover and develop drugs, diagnostics, and healthcare applications.\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\u002F2020\u002F05\u002F168_tmf-01-768x432.png\" alt=\"Network medicine in finding treatment for COVID-19\" class=\"wp-image-28279\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>Open A.I. helping people make healthier choices and decisions\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.weforum.org\u002Fagenda\u002F2016\u002F06\u002F3-ways-ai-and-robotics-will-transform-healthcare\u002F\">An open AI ecosystem refers to the idea that\u003C\u002Fa> with an unprecedented amount of data available, combined with advances in natural language processing and social awareness algorithms, applications of A.I. will become increasingly more useful to consumers.\u003C\u002Fp>\n\n\n\n\u003Cp>It is especially true in medicine and healthcare. There is so much data to use: patient medical history records, treatment data – and information coming from wearable health trackers and sensors. This vast amount of data could be analysed in detail to provide patients who want to be proactive with better suggestions about lifestyle. It could also serve healthcare with instructive pieces of information about how to design healthcare based on the needs and habits of patients.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>\u003Cu>Analyzing a healthcare system\u003C\u002Fu>\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp class=\"has-text-align-left\">97% of healthcare invoices in the Netherlands are digital containing data regarding the treatment, the doctor, and the hospital. These invoices could be easily retrieved. A local company, \u003Ca href=\"https:\u002F\u002Fwww.zorgprismapubliek.nl\u002F\">Zorgprisma Publiek\u003C\u002Fa> analyzes the invoices and uses IBM Watson in the cloud to mine the data. They can tell if a doctor, clinic or hospital makes mistakes repetitively in treating a certain type of condition in order to help them improve and avoid unnecessary hospitalizations of patients.\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=\"Can A.I. Choose Between Life And Death? \u002F Episode 21 - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FOh760agkTmI?start=5&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\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What do we need to make these really happen?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp class=\"has-text-align-left\">First and foremost, we have \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F2016\u002F07\u002F12\u002Fwhy-people-should-not-fear-digital-health\u002F\" target=\"_blank\">to tear down the prejudices and fears regarding artificial intelligence\u003C\u002Fa> and help the general population understand how A.I. could be beneficial and how we can fight its possible dangers. The biggest fear is that A.I. will become so sophisticated that it will work better than the human brain and after a while, it will aim to take control over our lives. \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fwww.bbc.com\u002Fnews\u002Ftechnology-30290540\" target=\"_blank\">Stephen Hawking even said that\u003C\u002Fa> the development of full artificial intelligence could spell the end of the human race. Elon Musk \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Ze0_1vczikA\" target=\"_blank\">agreed\u003C\u002Fa> (although he says he’s currently \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.cnbc.com\u002F2021\u002F08\u002F24\u002Felon-musk-warned-of-ai-apocalypsenow-hes-building-a-tesla-robot.html\" target=\"_blank\">building humanoid robots\u003C\u002Fa>).\u003C\u002Fp>\n\n\n\n\u003Chr class=\"wp-block-separator\"\u002F>\n\n\n\n\u003Cp class=\"has-text-align-left\">\u003Cstrong>I do not think there’s a Terminator apocalypse coming. But I agree with those who stress the need to prepare for the use of artificial intelligence in healthcare appropriately. We need these steps to avoid the pitfalls of the utilization of A.I.:\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Col class=\"wp-block-list\">\u003Cli>creation of\u003Cstrong> ethical standards\u003C\u002Fstrong> which are applicable to and obligatory for the whole healthcare sector\u003C\u002Fli>\u003Cli>\u003Cstrong>the gradual development of A.I.\u003C\u002Fstrong> in order to give some time for mapping of the possible downsides\u003C\u002Fli>\u003Cli>for medical professionals: \u003Cstrong>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F2014\u002F10\u002F06\u002Fwhy-and-how-healthcare-institutions-should-prepare-for-ibm-watson\u002F\" target=\"_blank\">get\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F2014\u002F10\u002F06\u002Fwhy-and-how-healthcare-institutions-should-prepare-for-ibm-watson\u002F\"> basic knowledge about how A.I. works\u003C\u002Fa>\u003C\u002Fstrong> in a medical setting to understand how such solutions might help them in their everyday job\u003C\u002Fli>\u003Cli>for patients: \u003Cstrong>getting accustomed to artificial intelligence\u003C\u002Fstrong> and discovering its benefits for themselves – e.g. with the help of \u003Ca href=\"http:\u002F\u002Fwww.cognitoys.com\u002F\">Cognitoys\u003C\u002Fa> which support the cognitive development of small children with the help of A.I. in a fun and gentle way or with such services as Siri.\u003C\u002Fli>\u003Cli>for companies developing A.I. solutions (such as IBM): even \u003Cstrong>more communication towards the general public\u003C\u002Fstrong> about the potential advantages and risks of using A.I. in medicine.\u003C\u002Fli>\u003Cli>for decision-makers at healthcare institutions: \u003Cstrong>doing all the necessary steps to be able to measure the success and the effectiveness of the system\u003C\u002Fstrong>. It is also important to \u003Cstrong>push companies towards offering affordable A.I.-solutions\u003C\u002Fstrong> since it is the only way to bring the promise of science fiction into reality and turn A.I. into the stethoscope of the 21\u003Csup>st\u003C\u002Fsup> century.\u003C\u002Fli>\u003C\u002Fol>\n\n\n\n\u003Cp class=\"has-text-align-left\">\u003Cstrong>If we succeed, huge medical discoveries and treatment breakthroughs will dominate the news not from time to time, but several times a day. If you ever come across or use a narrow A.I. system, you will understand my optimism.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Chr class=\"wp-block-separator\"\u002F>\n\n\n\n\u003Cp class=\"has-text-align-center\">\u003Cstrong>If you have any further questions, you can always watch this Q&A on A.I. in healthcare we recorded:\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed aligncenter 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=\"Live Q&A Now! Everything You Need to Know About A.I. in Healthcare\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FUafXtRXzHKg?start=244&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\u003Cdiv style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\">\u003C\u002Fdiv>\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":233,"protected":20},"\u003Cp>Artificial intelligence in healthcare has an unimaginable potential. Within the next couple of years, it will revolutionize every area of our life, including medicine. I […]\u003C\u002Fp>\n",6,35861,{"_acf_changed":20,"footnotes":27},[31,34],[239,240,241,242,54,243,244,245,246,247],282,289,517,530,531,144,246,275,279,[],[],[251,75,76,77,252,253,254,255,256,257,72,258,74],1693,1795,1801,1805,1809,1631,1813,1837,[260,14,81,82,83,84,85,86,89,261,262,263,264,108,265,266,267,268,269],"post-13650","tag-ibm-watson","tag-innovation","tag-gc1","tag-big-data","tag-google-deepmind","tag-artificial-intelligence","tag-future","tag-healthcare","tag-hospital",{"id":235,"alt_text":27,"caption":27,"description":271,"media_type":122,"media_details":272,"post":161,"source_url":289},"The evolution of artificial intelligence",{"width":124,"height":125,"file":273,"sizes":274,"image_meta":288},"2016\u002F08\u002Ftmf_article_288-01.png",{"medium":275,"large":278,"thumbnail":281,"medium_large":284,"1536x1536":285},{"file":276,"width":130,"height":131,"mime-type":132,"source_url":277},"tmf_article_288-01-370x208.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01-370x208.png",{"file":279,"width":136,"height":137,"mime-type":132,"source_url":280},"tmf_article_288-01-768x432.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01-768x432.png",{"file":282,"width":141,"height":141,"mime-type":132,"source_url":283},"tmf_article_288-01-150x150.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01-150x150.png",{"file":279,"width":136,"height":137,"mime-type":132,"source_url":280},{"file":286,"width":146,"height":147,"mime-type":132,"source_url":287},"tmf_article_288-01-1536x864.png","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01-1536x864.png",{"aperture":150,"credit":27,"camera":27,"caption":27,"created_timestamp":150,"copyright":27,"focal_length":150,"iso":150,"shutter_speed":150,"title":27,"orientation":150},"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01.png",{"related_posts":20,"related_posts_footer":291,"cta_type":154,"cta_color":27,"subtitle":27,"related_books":293},[292,151,5],31729,[157,294],24761,{"yoast_wpseo_title":296,"yoast_wpseo_metadesc":297,"yoast_wpseo_canonical":227},"Artificial Intelligence In Healthcare: 10 Medical Fields A.I. Will Change Completely - The Medical Futurist","Artificial intelligence in healthcare has an unimaginable potential – here we list 10 fields of medicine A.I. 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Guide to Artificial Intelligence in Healthcare",{"rendered":355,"protected":20},"\n\u003Cp>Can we stay human in the\nage of A.I.? To go even further, can we grow in humanity, can we shape a\nmore humane, more equitable and sustainable healthcare?\u003C\u002Fp>\n\n\n\n\u003Cp>Our e-book aims to prepare\nhealthcare and medical professionals for the era of human-machine collaboration.\nRead The Medical Futurist’s guide to understanding, anticipating and\ncontrolling artificial intelligence.\u003C\u002Fp>\n",{"rendered":357,"protected":20},"\u003Cp>Can we stay human in the age of A.I.? To go even further, can we grow in humanity, can we shape a more humane, more equitable 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