[{"data":1,"prerenderedAt":331},["ShallowReactive",2],{"slug-how-to-understand-the-a-i-revolution-better-in-studies-and-news":3},{"post":4,"relatedPosts":202,"relatedBooks":330},{"id":5,"date":6,"date_gmt":7,"guid":8,"modified":10,"modified_gmt":11,"slug":12,"status":13,"type":14,"link":15,"title":16,"content":18,"excerpt":21,"author":23,"featured_media":24,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":29,"categories":30,"tags":32,"project_category":48,"contact_email_category":49,"yst_prominent_words":50,"class_list":64,"better_featured_image":87,"acf":137,"yoast_meta":146,"_links":149},24128,"2019-06-15T09:59:12","2019-06-15T07:59:12",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=24128&_wpnonce=6364805942&status=auto-draft&type=post","2023-03-02T08:46:42","2023-03-02T07:46:42","how-to-understand-the-a-i-revolution-better-in-studies-and-news","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fhow-to-understand-the-a-i-revolution-better-in-studies-and-news",{"rendered":17},"How To Understand The A.I. Revolution Better In Studies And News?",{"rendered":19,"protected":20},"\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"5px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp style=\"color: #555;font-size: 12px;line-height: 14px\">THIS ARTICLE HAS NOT BEEN UPDATED SINCE 2019. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmagazine\">BROWSE OUR LATEST ARTICLES HERE\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Ftd> \u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>Artificial intelligence is the hottest topic at the moment in both technology and medicine. Hardly a day goes by without promising research papers and studies being published on how to apply machine and deep learning methods to medical problems. However, as already the mention of A.I. makes companies’ prospects better in any market, hyping and overmarketing what an algorithm can do is an everyday phenomenon. Thus, it is not an easy task to separate the wheat from the chaff. That’s why we decided to offer here a short guide on how to evaluate research papers on A.I.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>How to read an A.I. research paper?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>As a first step, you should go to the source. \u003Cstrong>It’s not scientific elitism but it matters\nwhere the paper about an artificial intelligence-powered solution was published\u003C\u002Fstrong>.\nIt makes a difference if the algorithm gets presented in \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Fnm\u002F\">Nature\nMedicine\u003C\u002Fa> or in a\nthird-level journal.\u003C\u002Fp>\n\n\n\n\u003Cp>The second most important factor is the data. \u003Cstrong>You should look for where the data stems\nfrom, thus you’d better look up the ‘Methods’ section where they describe how,\nwhere, what kind of data the authors received.\u003C\u002Fstrong> No algorithm can be trained\nwithout a good amount of quality data. Moreover, the size of the dataset also\nmatters: the more images, text or any other source material the researchers\nhave, the more precise the algorithms become. However, it is very difficult to\nget to a large amount of quality data, especially in medicine. Hospitals and\nother medical facilities, which have been accumulating health data for decades,\nare more often than not very reluctant to give their sensitive data to\nalgorithmic experiments. Thus, some research groups do tricks on their dataset\nto make it bigger (e.g. invert images to double the database size). As a reader\nof an A.I. research paper, you should be aware of that.\u003C\u002Fp>\n\n\n\n\u003Cp>As the third and final step in the process, look for clinical collaborations. \u003Cstrong>If an algorithm performs well on a pre-selected dataset that sounds alright but clinical datasets make it excellent.\u003C\u002Fstrong> For example, knowing that \u003Ca href=\"https:\u002F\u002Fdeepmind.com\u002F\">DeepMind\u003C\u002Fa> has partnered with the NHS on several projects for years, e.g. \u003Ca href=\"https:\u002F\u002Fdeepmind.com\u002Fapplied\u002Fdeepmind-health\u002Fworking-partners\u002Fhealth-research-tomorrow\u002Fmoorfields-eye-hospital-nhs-foundation-trust\u002F\">with the Moorfields Eye Hospital\u003C\u002Fa>, makes a strong case for their algorithm. However, the ultimate proof for the excellent performance of the algorithm is the \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffda-approvals-for-algorithms-in-medicine\">FDA approval\u003C\u002Fa>. If the U.S. regulator finds it acceptable according to its high standards, no doubt remains about the usability and efficiency of the smart algorithm.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"376\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic-copy-512x376.png\" alt=\"news AI\" class=\"wp-image-24096\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic-copy-512x376.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic-copy-768x565.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic-copy-1536x1129.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F0606_FDA_infographic-copy-2048x1506.png 2048w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>How\nto read the news on A.I. development?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>When you look at the latest pieces of news on smart algorithms, you should watch out for the following to be able to carefully assess the quality of the given artificial intelligence-related article. The term “artificial intelligence” itself might be misleading as due to the overuse of the expression, its meaning started to get inflated. \u003Cstrong>Its meaning implies software with cognition and sentience, a far far more developed technology than it is standing at the moment, and a far far more likely used concept by marketing gurus to describe each and every software tool dealing with big data analytics.\u003C\u002Fstrong> \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>If someone only mentions A.I. but doesn’t describe the method how they are attempting to reach artificial intelligence you should be skeptical and careful. A company or a research group should mention \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmachine-learning-and-deep-learning-in-medicine\">machine learning or deep learning and be able to explain the method in detail\u003C\u002Fa> with which they are aiming to create A.I. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>As online journalism centers around clicks, likes, and\nshares, many titles tend to be sensationalist and clickbait in nature. Of\ncourse, the word artificial intelligence is much catchier than machine learning\nand saying that algorithms beat doctors will get a much wider audience than\nwriting about percentages and comparisons in the title. That’s why it is worth\nlooking up the study itself when reading about the latest fantastic achievement\nof A.I. in an online article, and reading the conclusion of the research. In\nquality online magazines, the study is usually linked in the article, but you\ncan also search for the author and the medical journal itself on Google Scholar\nif you are looking for its credibility.\u003C\u002Fp>\n\n\n\n\u003Cp>If you are still skeptical, Reddit has a very active community where you can ask around about artificial intelligence, machine learning and deep learning – and any news or research paper on the topic that you are concerned about. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FFake-medical-news-512x288.jpg\" alt=\"news AI\" class=\"wp-image-24129\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FFake-medical-news-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FFake-medical-news-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FFake-medical-news-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FFake-medical-news.jpg 1400w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: Chelsea Beck\u002FNPR\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>As The Medical Futurist undertakes \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-digital-health-buzzword-radar\">the role of the “voluntary policeman”\u003C\u002Fa> or the guardian of the digital health galaxy to filter out companies with overhyped and oversold technologies and propagates the ones whose claims correlate with their actual achievements, we will also aim to bring you information about credible and efficient artificial intelligence solutions in medicine further on in the future. Let us know how you shield yourself against overhype concerning A.I. and if you find something that we should warn others about. \u003C\u002Fp>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFIbMejImnxs\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>If you’d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Artificial intelligence is the hottest topic at the moment in both technology and medicine. Hardly a day goes by without promising research papers and studies being published on how to apply machine and deep learning methods to medical problems. However, as already the mention of A.I. makes companies’ prospects better on any market, hyping and overmarketing what an algorithm can do is an everyday phenomenon. Thus, it is not an easy task to separate the wheat from the chaff. That’s why we decided to offer here a short guide on how to evaluate research papers on A.I.\u003C\u002Fp>\n",6,24130,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31],504,[33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],636,671,1029,134,1168,137,1203,144,1228,246,1362,373,1363,421,425,[],[],[51,52,53,54,55,56,57,58,59,60,61,62,63],1723,1789,1801,1805,1883,2695,2705,2739,1661,3585,1693,5179,1715,[65,14,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86],"post-24128","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-deep-learning","tag-machine-learning","tag-development","tag-ai","tag-smart-algorithm","tag-algorithm","tag-smart","tag-artificial-intelligence","tag-artificial","tag-future","tag-news","tag-research","tag-method","tag-study","tag-technology-2",{"id":24,"alt_text":88,"caption":89,"description":27,"media_type":90,"media_details":91,"post":5,"source_url":136},"news A.I.","Source: www.media-power.it","image",{"width":92,"height":93,"file":94,"sizes":95,"image_meta":133},1920,1180,"2019\u002F06\u002FHow-to-Read-News-On-AI.jpg",{"medium":96,"large":102,"thumbnail":107,"medium_large":111,"1536x1536":112,"large_old_512x315":117,"thumbnail_old_150x150":122,"medium_old_370x208":124,"medium_large_old_768x472":127,"large_old_512x315_old_512x315":130},{"file":97,"width":98,"height":99,"mime-type":100,"source_url":101},"How-to-Read-News-On-AI-370x208.jpg",370,208,"image\u002Fjpeg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FHow-to-Read-News-On-AI-370x208.jpg",{"file":103,"width":104,"height":105,"mime-type":100,"source_url":106},"How-to-Read-News-On-AI-768x472.jpg",768,472,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FHow-to-Read-News-On-AI-768x472.jpg",{"file":108,"width":109,"height":109,"mime-type":100,"source_url":110},"How-to-Read-News-On-AI-150x150.jpg",150,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FHow-to-Read-News-On-AI-150x150.jpg",{"file":103,"width":104,"height":105,"mime-type":100,"source_url":106},{"file":113,"width":114,"height":115,"mime-type":100,"source_url":116},"How-to-Read-News-On-AI-1536x944.jpg",1536,944,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FHow-to-Read-News-On-AI-1536x944.jpg",{"file":118,"width":119,"height":120,"mime-type":100,"source_url":121},"How-to-Read-News-On-AI-512x315.jpg",512,315,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FHow-to-Read-News-On-AI-512x315.jpg",{"file":108,"width":123,"height":123,"mime-type":100,"source_url":110},"150",{"file":97,"width":125,"height":126,"mime-type":100,"source_url":101},"370","208",{"file":103,"width":128,"height":129,"mime-type":100,"source_url":106},"768","472",{"file":118,"width":131,"height":132,"mime-type":100,"source_url":121},"512","315",{"aperture":134,"credit":27,"camera":27,"caption":27,"created_timestamp":134,"copyright":27,"focal_length":134,"iso":134,"shutter_speed":134,"title":27,"orientation":134,"keywords":135},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002FHow-to-Read-News-On-AI.jpg",{"related_posts":138,"related_posts_footer":142,"cta_type":27,"cta_color":27,"subtitle":27,"related_books":20},[139,140,141],24083,22987,14848,[143,144,145],13650,10983,10785,{"yoast_wpseo_title":147,"yoast_wpseo_metadesc":148,"yoast_wpseo_canonical":15},"How To Understand The A.I. Revolution Better In Studies And News? - The Medical Futurist","Hyping and overmarketing what an algorithm can do is an everyday phenomenon. That’s why we decided to offer a short guide on how to read news on A.I.",{"self":150,"collection":156,"about":159,"author":162,"replies":165,"version-history":168,"predecessor-version":172,"wp:featuredmedia":176,"wp:attachment":179,"wp:term":182,"curies":198},[151],{"href":152,"targetHints":153},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24128",{"allow":154},[155],"GET",[157],{"href":158},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[160],{"href":161},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[163],{"embeddable":26,"href":164},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[166],{"embeddable":26,"href":167},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24128",[169],{"count":170,"href":171},9,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24128\u002Frevisions",[173],{"id":174,"href":175},49703,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24128\u002Frevisions\u002F49703",[177],{"embeddable":26,"href":178},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F24130",[180],{"href":181},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24128",[183,186,189,192,195],{"taxonomy":184,"embeddable":26,"href":185},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=24128",{"taxonomy":187,"embeddable":26,"href":188},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=24128",{"taxonomy":190,"embeddable":26,"href":191},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=24128",{"taxonomy":193,"embeddable":26,"href":194},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=24128",{"taxonomy":196,"embeddable":26,"href":197},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24128",[199],{"name":200,"href":201,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[203],{"id":145,"date":204,"date_gmt":205,"guid":206,"modified":208,"modified_gmt":209,"slug":210,"status":13,"type":14,"link":211,"title":212,"content":214,"excerpt":216,"author":23,"featured_media":218,"comment_status":219,"ping_status":219,"sticky":26,"template":27,"format":28,"meta":220,"categories":221,"tags":224,"project_category":234,"contact_email_category":235,"yst_prominent_words":236,"class_list":242,"better_featured_image":255,"acf":285,"yoast_meta":286,"_links":288},"2017-07-18T18:00:35","2017-07-18T16:00:35",{"rendered":207},"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":213},"Artificial Intelligence is the Stethoscope of the 21st Century",{"rendered":215,"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":217,"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},[31,222,223],521,499,[225,226,227,36,47,40,228,42,229,230,231,232,233],313,355,419,179,517,272,275,282,304,[],[],[63,51,237,55,238,239,240,59,241],1729,2699,3037,1593,1683,[243,14,66,67,68,69,70,71,244,245,246,247,248,75,86,79,249,81,250,251,252,253,254],"post-10785","category-future-medicine","category-healthcare-design","tag-medicine","tag-personalized-medicine","tag-stethoscope","tag-cognitive-computer","tag-gc1","tag-health-20","tag-healthcare","tag-ibm-watson","tag-medical",{"id":218,"alt_text":256,"caption":27,"description":27,"media_type":90,"media_details":257,"post":145,"source_url":284},"A.I. stethoscope",{"width":258,"height":259,"file":260,"sizes":261,"image_meta":282},870,579,"2014\u002F11\u002Fai-stethoscope.jpg",{"medium":262,"large":265,"thumbnail":269,"medium_large":272,"large_old_512x341":273,"medium_old_375x250":277},{"file":263,"width":98,"height":99,"mime-type":100,"source_url":264},"ai-stethoscope-370x208.jpg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-370x208.jpg",{"file":266,"width":104,"height":267,"mime-type":100,"source_url":268},"ai-stethoscope-768x511.jpg",511,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-768x511.jpg",{"file":270,"width":109,"height":109,"mime-type":100,"source_url":271},"ai-stethoscope-150x150.jpg","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-150x150.jpg",{"file":266,"width":104,"height":267,"mime-type":100,"source_url":268},{"file":274,"width":119,"height":275,"mime-type":100,"source_url":276},"ai-stethoscope-512x341.jpg",341,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-512x341.jpg",{"file":278,"width":279,"height":280,"mime-type":100,"source_url":281},"ai-stethoscope-375x250.jpg",375,250,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2014\u002F11\u002Fai-stethoscope-375x250.jpg",{"aperture":134,"credit":27,"camera":27,"caption":27,"created_timestamp":134,"copyright":27,"focal_length":134,"iso":134,"shutter_speed":134,"title":27,"orientation":134,"keywords":283},[],"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":287,"yoast_wpseo_metadesc":27,"yoast_wpseo_canonical":211},"Artificial Intelligence is the Stethoscope of the 21st Century - The Medical Futurist",{"self":289,"collection":294,"about":296,"author":298,"replies":300,"version-history":303,"predecessor-version":307,"wp:featuredmedia":311,"wp:attachment":314,"wp:term":317,"curies":328},[290],{"href":291,"targetHints":292},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785",{"allow":293},[155],[295],{"href":158},[297],{"href":161},[299],{"embeddable":26,"href":164},[301],{"embeddable":26,"href":302},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=10785",[304],{"count":305,"href":306},26,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785\u002Frevisions",[308],{"id":309,"href":310},44679,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F10785\u002Frevisions\u002F44679",[312],{"embeddable":26,"href":313},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F16038",[315],{"href":316},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=10785",[318,320,322,324,326],{"taxonomy":184,"embeddable":26,"href":319},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=10785",{"taxonomy":187,"embeddable":26,"href":321},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=10785",{"taxonomy":190,"embeddable":26,"href":323},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=10785",{"taxonomy":193,"embeddable":26,"href":325},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=10785",{"taxonomy":196,"embeddable":26,"href":327},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=10785",[329],{"name":200,"href":201,"templated":26},[],1788949246872]