[{"data":1,"prerenderedAt":300},["ShallowReactive",2],{"slug-no-precision-medicine-without-artificial-intelligence":3},{"post":4,"relatedPosts":184,"relatedBooks":299},{"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":36,"project_category":48,"contact_email_category":49,"yst_prominent_words":50,"class_list":59,"better_featured_image":82,"acf":119,"yoast_meta":128,"_links":131},16479,"2017-10-19T16:00:23","2017-10-19T14:00:23",{"rendered":9},"http:\u002F\u002Fmedicalfuturist.com\u002F?p=16479","2022-05-17T15:16:28","2022-05-17T13:16:28","no-precision-medicine-without-artificial-intelligence","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fno-precision-medicine-without-artificial-intelligence",{"rendered":17},"There Is No Precision Medicine Without Artificial Intelligence",{"rendered":19,"protected":20},"\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"5px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp style=\"color: #555;font-size: 12px;line-height: 14px\">THIS ARTICLE HAS NOT BEEN UPDATED SINCE 2017. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW.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>\n\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>Artificial narrow intelligence (ANI) will most likely help healthcare move from traditional, „one-size-fits-all” medical solutions towards targeted treatments, personalized therapies, and uniquely composed drugs. In two words: precision medicine. However, before we let ANI take over the stage in healthcare, stakeholders should consider several ethical and legal issues. \u003C\u002Fp>\n\n\n\n\u003C!--more-->\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Moving away from generalized medicine to personalisation\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cem>The article is based on a paper about \u003Ca href=\"http:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Ffull\u002F10.1080\u002F23808993.2017.1380516?scroll=top&needAccess=true\">\u003Cstrong>the role of A.I. in Precision Medicine\u003C\u002Fstrong>\u003C\u002Fa> that was published in Expert Review of Precision Medicine and Drug Development.\u003C\u002Fem>\u003C\u002Fp>\n\n\n\n\u003Cp>Classical medical practice puts large groups of people in their focus and tries to develop clinical solutions, drugs or treatment based on the needs of the statistical average person. Disruptive technologies change that perspective completely. The basis of that transformation is data. Physicians are able to collect a vast amount of medical information about the individual through cheap genome sequencing, big data analytics, health sensors, wearables or artificial intelligence. Based on that specific knowledge, medical professionals can \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fprecision-medicine-best-hope-fight-cancer\u002F\">move away from generalistic solutions towards personalization and precision\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>As disruptive technologies appear on the stage of healthcare, it becomes possible to get down even more deeply to the roots of diseases and treatments. The “one-size-fits-all” strategy will definitely start to crumble. It is the logical result of hundreds of years of medical research and accumulated knowledge. Currently, we know that everyone has a different genetic code, may react differently to pharmaceutics or may have a completely opposite reaction to treatment as assumed.\u003C\u002Fp>\n\n\n\n\u003Cp>So why should we treat everyone with the same drugs or with the same method? And one of the most efficient means for precision medicine is artificial intelligence.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"518\" height=\"362\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Findividual-versus-population.jpg\" alt=\"precision medicine\" class=\"wp-image-16481\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Findividual-versus-population.jpg 518w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Findividual-versus-population-512x358.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Findividual-versus-population-358x250.jpg 358w\" sizes=\"auto, (max-width: 518px) 100vw, 518px\" \u002F>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The place of artificial intelligence in precision medicine\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>As the \u003Ca href=\"https:\u002F\u002Fghr.nlm.nih.gov\u002Fprimer\u002Fprecisionmedicine\u002Fdefinition\">National Institutes of Health (NIH) put\u003C\u002Fa> it, precision medicine is “an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person.” To be able to ponder all those individual variations, medical professionals have to gather incredible amounts of information, and the ability to analyze, store, normalize or trace that data.\u003C\u002Fp>\n\n\n\n\u003Cp>Big data analytics is one area where A.I., especially ANI comes into the picture. Within a couple of years, it will most probably analyze big medical data sets, draw conclusions, find new correlations based on existing precedences and support the doctor’s job e.g. in decision-making. Several companies recognized already the immense potential in A.I. for mining medical records (Google Deepmind and \u003Ca href=\"https:\u002F\u002Fwww.ibm.com\u002Fwatson\u002Fhealth\u002Foncology\u002F\">IBM Watson\u003C\u002Fa>), identifying therapies (Zephyr Health), supporting radiology (\u003Ca href=\"http:\u002F\u002Fwww.enlitic.com\u002F\">Enlitic\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Farterys.com\u002F\">Arterys\u003C\u002Fa>, \u003Ca href=\"http:\u002F\u002Fwww.3scan.com\u002F\">3Scan\u003C\u002Fa>) or genomics (\u003Ca href=\"https:\u002F\u002Fwww.deepgenomics.com\u002F\">Deep Genomics\u003C\u002Fa>). My personal favorite is \u003Ca href=\"http:\u002F\u002Fwww.atomwise.com\u002F\">Atomwise\u003C\u002Fa>, which uses supercomputers that root out therapies from a database of molecular structures. In 2015, Atomwise launched a virtual search for safe, existing medicines that could be redesigned to treat the Ebola virus. They found two drugs predicted by the company’s A.I. technology which may significantly reduce Ebola infectivity. This analysis, which typically would have taken months or years, was completed in less than one day.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Medical limitations and ethical issues around A.I.\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>To avoid over-hyping technology, the medical limitations of present-day A.I. have to be acknowledged. In the case of image recognition and using machine learning and deep learning algorithms for the purposes of radiology, there is the risk of feeding the computer not only with thousands of images but underlying bias. For example, the images tend to originate from one part of the U.S or the framework for conceptualizing the algorithm itself incorporates the subjective assumptions of the working team. Moreover, the forecasting and predictive abilities of smart algorithms are anchored in precedences – however, they might be useless in novel cases of drug side effects or treatment resistance.\u003C\u002Fp>\n\n\n\n\u003Cp>Yet, medical as well as technological limitations of A.I. as well as ANI will still be easier to overcome than ethical and legal issues. Who is to blame if a smart algorithm makes a mistake and does not spot a cancerous nodule on a lung X-ray? To whom to turn to when A.I. comes up with a false prediction? Who will build in safety features? What will be the rules and regulations to decide on safety?\u003C\u002Fp>\n\n\n\n\u003Cp>Although these burning questions cannot be answered in their entirety today, we have to do some preparations to be able to keep the human touch at the center of medicine and avert the possibility of A.I. becoming an existential threat to mankind feared by \u003Ca href=\"https:\u002F\u002Fwww.theguardian.com\u002Ftechnology\u002F2017\u002Fsep\u002F04\u002Felon-musk-ai-third-world-war-vladimir-putin\">Elon Musk\u003C\u002Fa> or \u003Ca href=\"http:\u002F\u002Fwww.bbc.com\u002Fnews\u002Ftechnology-30290540\">Stephen Hawking\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"489\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fmind-and-machine.jpg\" alt=\"precision medicine\" class=\"wp-image-16483\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fmind-and-machine.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fmind-and-machine-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fmind-and-machine-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fmind-and-machine-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fmind-and-machine-444x250.jpg 444w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What should stakeholders do to avoid the A.I. apocalypse?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>\u003Cstrong>Set up ethical standards\u003C\u002Fstrong> how to use A.I. on the micro and macro levels of the healthcare sector. We need specific guidelines starting from the smallest units (medical professionals) to the most complex ones (national-level healthcare systems). \u003Cstrong>The principle of human comes first\u003C\u002Fstrong> should stand at the core of these standards.\u003C\u002Fli>\u003Cli>\u003Cstrong>A. I. should be implemented cautiously and gradually\u003C\u002Fstrong> in order to give time and space for mapping the potential risks and downsides. Independent bioethical research groups, as well as medical watchdogs, should monitor the process closely.\u003C\u002Fli>\u003Cli>\u003Cstrong>Medical professionals \u003C\u002Fstrong>should familiarize with the basic concepts and working methods of A.I. in a medical setting to get over their potential fears and understand how the technology could help their work. There are concerns that A.I. will take over plenty of jobs in healthcare, yet, I believe the key is cooperation. Medical professionals should work together with technology if they want to achieve their full potential to heal patients.\u003C\u002Fli>\u003Cli>\u003Cstrong>Patients \u003C\u002Fstrong>should also explore A.I. in detail and how it might change their own everyday lives. It is important as in a couple of years, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fkid-will-play-friends-learn-vr-teachers\u002F\">kids will probably play with A.I. friends\u003C\u002Fa> such as the cute, dinosaur-shaped Cognitoys or learn from virtual reality teachers.\u003C\u002Fli>\u003Cli>\u003Cstrong>Companies that develop A.I. solutions\u003C\u002Fstrong> should communicate clearly and concisely towards the general public about the potential risks of utilizing A.I. in medicine. That’s also useful to avoid overhyping technology.\u003C\u002Fli>\u003Cli>\u003Cstrong>Decision-makers at healthcare institutions & policy-makers \u003C\u002Fstrong>should guide the process of implementing A.I. in healthcare along the principles and ethical standards they work out with other industry stakeholders. Moreover, they should push companies towards putting affordable A.I. solutions on the table and keeping the focus on the patient all the time.\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Cp>I have no doubts that \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century\u002F\">A.I. will be the stethoscope of the 21st century\u003C\u002Fa> and the backbone of precision medicine. It has the biggest potential to analyze vast amounts of data and offer insights to create personalized solutions and targeted treatments. Yet, we have to do everything in our power to ensure that A.I. remains safe, secure and efficient in fulfilling its mission as an aid in healing patients and helping the medical scene.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"https:\u002F\u002Fthemedicalfuturist.us8.list-manage.com\u002Fsubscribe?u=5b42ebb547c75ff669a6572d3&id=efd6a3cd08\" target=\"_blank\" rel=\"noopener\" data-saferedirecturl=\"https:\u002F\u002Fwww.google.com\u002Furl?q=https:\u002F\u002Fthemedicalfuturist.us8.list-manage.com\u002Fsubscribe?u%3D5b42ebb547c75ff669a6572d3%26id%3Defd6a3cd08&source=gmail&ust=1534355444917000&usg=AFQjCNH9L0BP3FQtAahXcvw9Dg9JLtyZDw\">\u003Cb>Subscribe To The Medical Futurist℠ Newsletter\u003C\u002Fb>\u003C\u002Fa>\u003C\u002Fh2>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>News shaping the future of healthcare\u003C\u002Fli>\u003Cli>Advice on taking charge of your health\u003C\u002Fli>\u003Cli>Reviews of the latest health technology\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFIbMejImnxs\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>If you’d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Artificial narrow intelligence (ANI) will most likely help healthcare move from traditional, „one-size-fits-all” medical solutions towards targeted treatments, personalized therapies, and uniquely composed drugs. In two words: precision medicine. However, before we let ANI take over the stage in healthcare, stakeholders should consider several ethical and legal issues.\u003C\u002Fp>\n",6,16482,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33,34,35],504,511,521,499,489,[37,38,39,40,41,42,43,44,45,46,47],134,519,144,246,608,275,671,289,749,304,313,[],[],[51,52,53,54,55,56,57,58],1729,1739,1831,1883,1661,1683,1715,1723,[60,14,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81],"post-16479","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-bioethics","category-future-medicine","category-healthcare-design","category-personalized-medicine","tag-ai","tag-gc4","tag-artificial-intelligence","tag-future","tag-precision-medicine","tag-healthcare","tag-machine-learning","tag-innovation","tag-ethical","tag-medical","tag-medicine",{"id":24,"alt_text":83,"caption":27,"description":27,"media_type":84,"media_details":85,"post":5,"source_url":118},"precision medicine","image",{"width":86,"height":35,"file":87,"sizes":88,"image_meta":115},870,"2017\u002F10\u002Fai-in-healthcare.jpg",{"medium":89,"large":95,"thumbnail":100,"medium_large":104,"large_old_512x288":105,"medium_old_444x250":110},{"file":90,"width":91,"height":92,"mime-type":93,"source_url":94},"ai-in-healthcare-370x208.jpg",370,208,"image\u002Fjpeg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fai-in-healthcare-370x208.jpg",{"file":96,"width":97,"height":98,"mime-type":93,"source_url":99},"ai-in-healthcare-768x432.jpg",768,432,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fai-in-healthcare-768x432.jpg",{"file":101,"width":102,"height":102,"mime-type":93,"source_url":103},"ai-in-healthcare-150x150.jpg",150,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fai-in-healthcare-150x150.jpg",{"file":96,"width":97,"height":98,"mime-type":93,"source_url":99},{"file":106,"width":107,"height":108,"mime-type":93,"source_url":109},"ai-in-healthcare-512x288.jpg",512,288,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fai-in-healthcare-512x288.jpg",{"file":111,"width":112,"height":113,"mime-type":93,"source_url":114},"ai-in-healthcare-444x250.jpg",444,250,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fai-in-healthcare-444x250.jpg",{"aperture":116,"credit":27,"camera":27,"caption":27,"created_timestamp":116,"copyright":27,"focal_length":116,"iso":116,"shutter_speed":116,"title":27,"orientation":116,"keywords":117},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2017\u002F10\u002Fai-in-healthcare.jpg",{"related_posts":120,"related_posts_footer":124,"cta_type":27,"cta_color":27,"subtitle":27,"related_books":20},[121,122,123],15351,15713,21320,[125,126,127],17898,16745,10785,{"yoast_wpseo_title":129,"yoast_wpseo_metadesc":130,"yoast_wpseo_canonical":15},"There Is No Precision Medicine Without Artificial Intelligence - The Medical Futurist","A.I. will be the backbone of precision medicine. It has the biggest potential to analyze vast amounts of data and offer insights to create personalized solutions and targeted treatments.",{"self":132,"collection":138,"about":141,"author":144,"replies":147,"version-history":150,"predecessor-version":154,"wp:featuredmedia":158,"wp:attachment":161,"wp:term":164,"curies":180},[133],{"href":134,"targetHints":135},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F16479",{"allow":136},[137],"GET",[139],{"href":140},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[142],{"href":143},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[145],{"embeddable":26,"href":146},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[148],{"embeddable":26,"href":149},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=16479",[151],{"count":152,"href":153},23,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F16479\u002Frevisions",[155],{"id":156,"href":157},45599,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F16479\u002Frevisions\u002F45599",[159],{"embeddable":26,"href":160},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F16482",[162],{"href":163},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=16479",[165,168,171,174,177],{"taxonomy":166,"embeddable":26,"href":167},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=16479",{"taxonomy":169,"embeddable":26,"href":170},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=16479",{"taxonomy":172,"embeddable":26,"href":173},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=16479",{"taxonomy":175,"embeddable":26,"href":176},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=16479",{"taxonomy":178,"embeddable":26,"href":179},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=16479",[181],{"name":182,"href":183,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[185],{"id":127,"date":186,"date_gmt":187,"guid":188,"modified":190,"modified_gmt":191,"slug":192,"status":13,"type":14,"link":193,"title":194,"content":196,"excerpt":198,"author":23,"featured_media":200,"comment_status":201,"ping_status":201,"sticky":26,"template":27,"format":28,"meta":202,"categories":203,"tags":204,"project_category":212,"contact_email_category":213,"yst_prominent_words":214,"class_list":218,"better_featured_image":227,"acf":254,"yoast_meta":255,"_links":257},"2017-07-18T18:00:35","2017-07-18T16:00:35",{"rendered":189},"http:\u002F\u002Fscienceroll.com\u002F?p=10785","2022-05-10T14:28:26","2022-05-10T12:28:26","ibm-watson-is-the-stethoscope-of-the-21st-century","https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century",{"rendered":195},"Artificial Intelligence is the Stethoscope of the 21st Century",{"rendered":197,"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 2017. 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>\n\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>\u003Cspan data-offset-key=\"aa0sd-0-0\">It took some time for the medical community to accept the stethoscope. \u003C\u002Fspan>\u003Cspan class=\"hardreadability\">\u003Cspan data-offset-key=\"aa0sd-1-0\">It will also take a while to recognize A.I. as a full-fledged health tool – despite its \u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan data-offset-key=\"aa0sd-2-0\">vast potential to revolutionize healthcare\u003C\u002Fspan>\u003Cspan data-offset-key=\"aa0sd-3-0\">. \u003C\u002Fspan>\u003Cspan class=\"hardreadability\">\u003Cspan data-offset-key=\"aa0sd-4-0\">Yet, it is so powerful that when it will finally take its rightful place in healthcare, it will displace the stethoscope as its symbol\u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan data-offset-key=\"aa0sd-5-0\">.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003C!--more-->\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Watson is better in Jeopardy than humans\u003C\u002Fh2>\n\n\n\n\u003Cp>In 2011, people witnessed an interesting competition on the television quiz show Jeopardy. It featured the two best players in the history of the show, Ken Jennings, who had the longest unbeaten run of 74 winning appearances, and Brad Rutter, earner of the biggest prize of $3.25 million. Their opponent was a huge computer with over 750 servers and a cooling system stored at a location so as not to disturb the players. The room–sized machine was made by IBM and named after the company’s founder, Thomas J. Watson. It did not smile or show emotion, but it kept on giving good answers. At the end, \u003Ca href=\"http:\u002F\u002Fwww.ibm.com\u002Fsmarterplanet\u002Fus\u002Fen\u002Fibmwatson\u002F\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Watson\u003C\u002Fa> won the game with $77,147 leaving Rutter and Jennings with $21,600 and $24,000 respectively. It left the audience in shock and awe at the same time.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Cognitive computers have been developing rapidly\u003C\u002Fstrong> over the last few years following \u003Ca href=\"http:\u002F\u002Fwww.wired.com\u002F2014\u002F10\u002Ffuture-of-artificial-intelligence\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">three technological breakthroughs\u003C\u002Fa>. One is cheap parallel computation due to a new kind of chip called a graphics processing unit (GPU). The second one is accessible big data due to massive databases, web cookies, wearable devices and decades of search results. The third one is building better algorithms due to the services of Netflix, Google, Amazon and the others.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"582\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy.jpg\" alt=\"A.I. stethoscope of the 21st century\" class=\"wp-image-16028\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy-768x514.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy-512x343.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson_jeopardy-374x250.jpg 374w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Do we have to fear cognitive computers taking our jobs?\u003C\u002Fh2>\n\n\n\n\u003Cp>Some started to contemplate about how A.I. would replace many jobs, overtake the human race in thinking. \u003Ca href=\"http:\u002F\u002Fwww.bbc.com\u002Fnews\u002Ftechnology-30290540\">Stephen Hawking even said that\u003C\u002Fa> the development of full artificial intelligence could spell the end of the human race. Elon Musk agreed.\u003C\u002Fp>\n\n\n\n\u003Cp>However, it is not inevitable that the use of A.I. leads to the loss of the human touch. In 1997, IBM’s supercomputer Deep Blue could beat Garry Kasparov, the reigning chess grand master that time. He said he could have performed better if he had access to the same databases as Deep Blue. So later, freestyle matches were organized in which supercomputers could play against human chess players assisted by AI (they were called human\u002FAI centaurs). Guess what! In 2014 in a Freestyle Battle, the AI chess players won 42 games, but centaurs won 53 games. The best potential pair is a human with technology. \u003Cstrong>This is the only balance that can lead to a positive future\u003C\u002Fstrong> with more and more disruptive innovations including ever-improving cognitive computing but an also ever-improving human intelligence and wisdom. This is the winning combination.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter\">\u003Ca class=\"img\" href=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov.jpg\"\u003C\u002Fa>\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"559\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov.jpg\" alt=\"Garry Kasparov & A.I.\" class=\"wp-image-12302\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov-768x493.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov-512x329.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fkasparov-389x250.jpg 389w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Fa>\u003Cfigcaption>Garry Kasparov ponders his chess moves during his third game with IBM’s Deep Blue Tuesday, Feb.13, 1996 at the Convention Center in Philadelphia. Wednesday’s game ended in a draw, but Kasparov ended up winning the final game and series 4-2 against the supercomputer. “Fighting this computer has changed the way I–and I imagine most others–will approach the game in the future,” he said after winning the final game Saturday night. (AP Photo\u002FGeorge Widman)\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">From Stethoscope to Cognitive Computers\u003C\u002Fh2>\n\n\n\n\u003Cp>People don’t like change. It is not any different in healthcare. It took plenty of time until the stethoscope, the symbol of healthcare was accepted by the medical community back in the 19th century. The instrument was \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FStethoscope#History\">invented by French physician René-Théophile-Hyacinthe Laënnec\u003C\u002Fa>, who published its description in 1819, but it took several decades until doctors actually started using it.\u003C\u002Fp>\n\n\n\n\u003Cp>I don’t expect any difference with A.I. After many of my talks, physician colleagues ask me whether artificial intelligence might replace them in their jobs and whether algorithms can eventually become better at making diagnoses. Both will happen but not the way they imagine it. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-will-redesign-healthcare\u002F\">Huge waves are coming to healthcare to transform the job of physicians\u003C\u002Fa> into something distinctly different than before. Although some of their tasks will be taken over by A.I., they will have more time for others, for example, deal with patients with real care and patience. Doctors will not have to struggle with being up-to-date in medical research, with administrative tasks, with consultation or making notes. They do not have to have a headache about how to choose the best therapy.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Cognitive computers will help physicians diagnose much better –  the same way stethoscope could change the medical profession\u003C\u002Fstrong> from the early 19th century on; when a wooden tube working like an ear trumpet could make doctors listen to cardiac and lung sounds at the point of care.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"560\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai.jpg\" alt=\"A.I. stethoscope\" class=\"wp-image-16030\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai-768x494.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai-512x330.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fhealthcare_ai-389x250.jpg 389w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>A.I. will open a new dimension for healthcare\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>What even the most acclaimed professors know cannot match cognitive computers. As the amount of information they accumulate grows exponentially, the assistance of computing solutions in medical decisions is imminent. A.I. will open new dimensions for doctors on the personal level as well as for hospitals and other medical institutions on the structural level.\u003C\u002Fp>\n\n\n\n\u003Cp>On the institutional level, the most obvious use of A.I. will be data management. Collecting it, storing it, normalizing it, tracing its lineage – it is the first step in revolutionizing the existing healthcare systems. Recently, the AI research branch of the search giant, Google, launched its Google Deepmind Health project, which is used to mine the data of medical records in order to provide better and faster health services.\u003C\u002Fp>\n\n\n\n\u003Cp>It could also analyze entire healthcare systems. For example, 97 percent 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\u003Cp>\u003C\u002Fp>\n\n\n\u003Cp>[subscribe image=”false” type=”article-horizontal”]Subscribe to\u003C\u002Fp>\n\u003Ch2>\u003Cb>The Medical Futurist℠ Newsletter\u003C\u002Fb>\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>News shaping the future of healthcare\u003C\u002Fli>\n\u003Cli>Advice on taking charge of your health\u003C\u002Fli>\n\u003Cli>Reviews of the latest health technology\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>[\u002Fsubscribe]\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">A.I. will help doctors in previously unimaginable ways\u003C\u002Fh2>\n\n\n\n\u003Cp>Precision medicine, targeted treatments, and personalized solutions: these are the buzzwords in current healthcare – and not by chance. A.I. will help physicians work out the best therapies for their patients. IBM has already taken the first steps. Watson launched its special program \u003Ca href=\"http:\u002F\u002Fwww.ibm.com\u002Fwatson\u002Fwatson-oncology.html\">for oncologists\u003C\u002Fa> – and I interviewed one of the professors working with it – which is able to provide clinicians evidence-based treatment options.\u003C\u002Fp>\n\n\n\n\u003Cp>Moreover, A.I. has the potential to eliminate hideous tasks, such as administrative or repetitive work. For example, IBM’s \u003Ca href=\"http:\u002F\u002Fresearcher.watson.ibm.com\u002Fresearcher\u002Fview_group.php?id=4384\">Medical Sieve\u003C\u002Fa> will become the next generation “cognitive assistant” with analytical, reasoning capabilities and a wide range of clinical knowledge. The algorithm will be qualified to assist in clinical decision making in radiology and cardiology. A.I. assistants could also look up relevant medical information and keep doctors up-to-date in clinical research. IBM has the capacity to scan through millions of pages in seconds. Imagine the possibilities that lie ahead of us!\u003C\u002Fp>\n\n\n\n\u003Cp>Moreover, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F10-things-how-artificial-intelligence-could-make-me-a-better-doctor\u002F\">A.I. could eradicate waiting time\u003C\u002Fa> by optimizing both physicians’ and patients’ schedules. It could prioritize doctors’ emails so as the most urgent messages would reach them in time. It could also help patients sort out their simpler medical issues thus reducing the burden on doctors. If you look at all the advantages of A.I., your question will only be when it will finally reach our hospitals and why it is not there already.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"435\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure.jpg\" alt=\"A.I. stethoscope\" class=\"wp-image-16031\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure-768x384.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure-512x256.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai_health-infrastructure-458x229.jpg 458w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">A.I. will augment clinical practice\u003C\u002Fh2>\n\n\n\n\u003Cp>There are already certain places where A.I. is tested. \u003Ca href=\"https:\u002F\u002Fdeepmind.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Google DeepMind\u003C\u002Fa> already launched a partnership with the UK’s National Health Service to improve the process of delivering care with digital solutions. In June 2017,\u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2017\u002F06\u002F22\u002Fdeepmind-health-inks-another-5-year-nhs-app-deal-in-face-of-ongoing-controversy\u002F\"> DeepMind expanded its services – first of all, its data management app, Streams, to another UK hospital\u003C\u002Fa>. This expansion comes despite ongoing \u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2016\u002F05\u002F04\u002Fconcerns-raised-over-broad-scope-of-deepmind-nhs-health-data-sharing-deal\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">controversy over the company’s first NHS data-sharing agreement\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Google DeepMind’s number one competitor, IBM Watson is used at the Alder Hey Children’s Hospital \u003Ca href=\"http:\u002F\u002Fwww.stfc.ac.uk\u002Fnews\u002Falder-hey-children-s-hospital-set-to-become-uk-s-first-cognitive-hospital\u002F\">as part of a science and technology facilities council project being run by the Hartree Centre\u003C\u002Fa>. Dr. Iain Hennessey, Clinical Director of Innovation \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-is-using-ibm-watson-in-medicine-like\u002F\">told me\u003C\u002Fa>, t\u003Cem>he UK is spending £300 million pounds to develop its capabilities in this area and they are one of the first use cases.\u003C\u002Fem>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"870\" height=\"489\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology.jpg\" alt=\"A.I. stethoscope\" class=\"wp-image-16033\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fwatson-for-oncology-445x250.jpg 445w\" sizes=\"auto, (max-width: 870px) 100vw, 870px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003C\u002Fp>\n\n\n\n\u003Cp>I also talked to Martijn G.H. Van Oijen, Ph.D. is an Associate Professor at the Academic Medical Center at the University of Amsterdam about Watson. As a clinical epidemiologist, he worked with IBM Watson for Oncology in preparation for a research proposal studying the role of Digital Decision Support tools. With several clinical colleagues of the department of Medical Oncology, they studied Watson for Oncology’s approach in approximately 400 surrogate patients with breast, lung or colorectal cancer. He believes that Watson for Oncology could result in a reduction of costs and efforts.\u003C\u002Fp>\n\n\n\n\u003Cp>They both agreed that AI cannot be a substitute for communication. \u003Cem>Right now, the technology is in its infancy, but improving all the time\u003C\u002Fem>, said Hennessey. My prediction is that it will gradually appear in more and more hospitals and get through the initial phase very quickly.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">What can we do to facilitate change?\u003C\u002Fh2>\n\n\n\n\u003Cdiv style=\"text-align: justify;\">\n\u003Cdiv style=\"text-align: justify;\">\n\u003Cp>Although A.I. is coming as fast as Daenerys Targaryen to Westeros, it will need the medical community’s understanding, initiative and drive for a better healthcare in order to work its best. If we introduced A.I. everywhere from Bolivia to Harvard, healthcare would not change a bit. There are many reasons for it and every stakeholder in healthcare should play its part to improve those elements.\u003C\u002Fp>\n\u003Cfigure>\u003Cimg loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-16032 size-full\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine.jpg\" alt=\"A.I. stethoscope\" width=\"1910\" height=\"1000\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine.jpg 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine-768x402.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine-512x268.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-in-medicine-458x240.jpg 458w\" sizes=\"auto, (max-width: 1910px) 100vw, 1910px\" \u002F>\u003C\u002Ffigure>\u003Cp>\u003C\u002Fp>\n\u003C\u002Fdiv>\n\u003C\u002Fdiv>\n\n\n\n\u003Cdiv style=\"text-align: justify;\">\n\u003Col>\n\u003Cli>\u003Cstrong>Medical professionals\u003C\u002Fstrong> should acquire basic knowledge about how AI works in a medical setting in order to understand how such solutions might help them in their everyday job. They also need to constantly think about where automation could let their jobs do better.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Decision makers\u003C\u002Fstrong> at healthcare institutions should do everything to be able to measure the success and the effectiveness of the system. This is the only way to assess the quality of AI’s help in medical decision making.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Companies\u003C\u002Fstrong> such as IBM should communicate even more towards the general public about the potential advantages and risks of using AI in medicine – and sort out data privacy issues such as \u003Ca href=\"https:\u002F\u002Ftechcrunch.com\u002F2017\u002F06\u002F22\u002Fdeepmind-health-inks-another-5-year-nhs-app-deal-in-face-of-ongoing-controversy\u002F\">the recent concerns with the NHS\u003C\u002Fa>!\u003C\u002Fli>\n\u003Cli>Non-English speaking countries should invest in \u003Cstrong>natural language processing\u003C\u002Fstrong> (NLP). If the patient information is not in English, A.I. needs to understand the content and context of the structured and unstructured information in that language.\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Cp>Artificial intelligence will become the stethoscope of the 21st century, but it can only do its best when there is a wide cooperation between technology and the medical community. Let’s make it happen together!\u003C\u002Fp>\n\u003Cfigure>\u003Ca class=\"img\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhealthcare-speaker\u002F\">\u003Cimg loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-16040 size-full\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed.png\" alt=\"\" width=\"1703\" height=\"529\"\u003C\u002Fa srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed.png 870w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed-768x238.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed-512x159.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Funnamed-458x142.png 458w\" sizes=\"auto, (max-width: 1703px) 100vw, 1703px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\u003Cp>\u003C\u002Fp>\n\u003C\u002Fdiv>\n\n\n\n\u003Cp> \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":199,"protected":20},"\u003Cp>It took some time for the medical community to accept the stethoscope. It will also take a while to recognize A.I. as a full-fledged health tool – despite its vast potential to revolutionize healthcare. Yet, it is so powerful that when it will finally take its rightful place in healthcare, it will displace the stethoscope as its symbol.\u003C\u002Fp>\n",16038,"open",{"_acf_changed":20,"footnotes":27},[31,33,34],[42,205,46,47,206,207,37,208,39,209,40,210,211],282,355,419,425,179,517,272,[],[],[215,55,56,57,58,51,54,216,217],1593,2699,3037,[219,14,61,62,63,64,65,66,68,69,76,220,80,81,221,222,71,223,73,224,74,225,226],"post-10785","tag-ibm-watson","tag-personalized-medicine","tag-stethoscope","tag-technology-2","tag-cognitive-computer","tag-gc1","tag-health-20",{"id":200,"alt_text":228,"caption":27,"description":27,"media_type":84,"media_details":229,"post":127,"source_url":253},"A.I. stethoscope",{"width":86,"height":230,"file":231,"sizes":232,"image_meta":251},579,"2014\u002F11\u002Fai-stethoscope.jpg",{"medium":233,"large":236,"thumbnail":239,"medium_large":242,"large_old_512x341":243,"medium_old_375x250":247},{"file":234,"width":91,"height":92,"mime-type":93,"source_url":235},"ai-stethoscope-370x208.jpg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-370x208.jpg",{"file":237,"width":97,"height":32,"mime-type":93,"source_url":238},"ai-stethoscope-768x511.jpg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-768x511.jpg",{"file":240,"width":102,"height":102,"mime-type":93,"source_url":241},"ai-stethoscope-150x150.jpg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-150x150.jpg",{"file":237,"width":97,"height":32,"mime-type":93,"source_url":238},{"file":244,"width":107,"height":245,"mime-type":93,"source_url":246},"ai-stethoscope-512x341.jpg",341,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-512x341.jpg",{"file":248,"width":249,"height":113,"mime-type":93,"source_url":250},"ai-stethoscope-375x250.jpg",375,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-375x250.jpg",{"aperture":116,"credit":27,"camera":27,"caption":27,"created_timestamp":116,"copyright":27,"focal_length":116,"iso":116,"shutter_speed":116,"title":27,"orientation":116,"keywords":252},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope.jpg",{"cta_type":27,"cta_color":27,"subtitle":27,"related_books":20,"related_posts_footer":20,"related_posts":20},{"yoast_wpseo_title":256,"yoast_wpseo_metadesc":27,"yoast_wpseo_canonical":193},"Artificial Intelligence is the Stethoscope of the 21st Century - The Medical Futurist",{"self":258,"collection":263,"about":265,"author":267,"replies":269,"version-history":272,"predecessor-version":276,"wp:featuredmedia":280,"wp:attachment":283,"wp:term":286,"curies":297},[259],{"href":260,"targetHints":261},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785",{"allow":262},[137],[264],{"href":140},[266],{"href":143},[268],{"embeddable":26,"href":146},[270],{"embeddable":26,"href":271},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=10785",[273],{"count":274,"href":275},26,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785\u002Frevisions",[277],{"id":278,"href":279},44679,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785\u002Frevisions\u002F44679",[281],{"embeddable":26,"href":282},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F16038",[284],{"href":285},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=10785",[287,289,291,293,295],{"taxonomy":166,"embeddable":26,"href":288},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=10785",{"taxonomy":169,"embeddable":26,"href":290},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=10785",{"taxonomy":172,"embeddable":26,"href":292},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=10785",{"taxonomy":175,"embeddable":26,"href":294},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=10785",{"taxonomy":178,"embeddable":26,"href":296},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=10785",[298],{"name":182,"href":183,"templated":26},[],1789727569317]