[{"data":1,"prerenderedAt":418},["ShallowReactive",2],{"slug-top-10-healthcare-artificial-intelligence-news-of-2021":3},{"post":4,"relatedPosts":176,"relatedBooks":335},{"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":45,"contact_email_category":50,"yst_prominent_words":51,"class_list":54,"better_featured_image":78,"acf":111,"yoast_meta":120,"_links":123},37057,"2021-12-14T10:00:00","2021-12-14T09:00:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=37057&_wpnonce=49d102503f&status=auto-draft&type=post","2021-12-14T20:37:06","2021-12-14T19:37:06","top-10-healthcare-artificial-intelligence-news-of-2021","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Ftop-10-healthcare-artificial-intelligence-news-of-2021",{"rendered":17},"Top 10 Healthcare Artificial Intelligence News Of 2021",{"rendered":19,"protected":20},"\n\u003Cp>\u003Cstrong>As 2021 is about to wrap up, we are reflecting on some of the most important news revolving around artificial intelligence (A.I.) in healthcare. These range from the principles laying the groundwork for the safe and effective development of A.I.-powered medical devices to a sober look at the technology’s role in the pandemic. Without further ado, let’s take a look at the top 10 healthcare A.I. news of the year that was.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Chr class=\"wp-block-separator\"\u002F>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>1. The FDA’s list of AI\u002FML-enabled medical devices marketed in the U.S.\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>In September 2020, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftmfinstitute.org\u002F\" target=\"_blank\">The Medical Futurist Institute\u003C\u002Fa> (TMFI) had its \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fnew-study-the-state-of-artificial-intelligence-based-fda-approved-medical-devices-and-algorithms-an-online-database\u002F\" target=\"_blank\">first research published\u003C\u002Fa> in the prestigious npj Digital Medicine journal. In it, the authors called for making information on credible A.I.-based medical tools available. By using the FDA as an example, they pioneered the first \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffda-approved-ai-based-algorithms\u002F\" target=\"_blank\">open access, online database\u003C\u002Fa> of FDA-approved A.I.-based algorithms, a resource that the U.S.-based regulatory body should have come up with already.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002FFigure-2-768x432.png\" alt=\"FDA-approved A.I.-based algorithms\" class=\"wp-image-30151\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002FFigure-2-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002FFigure-2-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002FFigure-2-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002FFigure-2-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002FFigure-2.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>The first open access, online database of FDA-approved A.I.-based algorithms\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Thankfully, it seems like the researchers’ call were noticed and heeded to. About a year later, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.fda.gov\u002Fmedical-devices\u002Fsoftware-medical-device-samd\u002Fartificial-intelligence-and-machine-learning-aiml-enabled-medical-devices\" target=\"_blank\">the FDA publicly released its own list\u003C\u002Fa> of A.I.\u002Fmachine learning (ML)-enabled medical devices marketed in the United States. This represents an important milestone from the FDA, which took the lead in regulating A.I.-based medical devices. Moreover, they cited TMFI’s database as a publicly available resource.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>2. Principles for Good Machine Learning Practice laid out\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>The next important piece of news in healthcare A.I. comes from a joint effort between the FDA, Health Canada, and the U.K’s Medicines and Healthcare products Regulatory Agency (MHRA). In October, they \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.fda.gov\u002Fmedical-devices\u002Fsoftware-medical-device-samd\u002Fgood-machine-learning-practice-medical-device-development-guiding-principles\" target=\"_blank\">laid out the 10 guiding principles\u003C\u002Fa> that can inform the development of Good Machine Learning Practice (GMLP). \u003C\u002Fp>\n\n\n\n\u003Cp>The latter aims to \u003Cem>“help promote safe, effective, and high-quality medical devices that use A.I.\u002FML”.\u003C\u002Fem> The regulatory bodies expect international standards organisations and collaborative bodies to build upon those foundational principles to advance GML.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>3. The potential sale of IBM’s Watson Health arm\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>According to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.wsj.com\u002Farticles\u002Fibm-explores-sale-of-ibm-watson-health-11613696770\" target=\"_blank\">a February report\u003C\u002Fa> from the \u003Cem>Wall Street Journal\u003C\u002Fem>, IBM could part ways with its Watson Health arm. After having spent years developing the branch and having heavily invested into it, it comes as a surprise that IBM is abandoning these efforts altogether.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"563\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F04\u002Falphago-in-healthcare-IBM1-768x563.jpg\" alt=\"IBM Watson in healthcare\" class=\"wp-image-13562\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F04\u002Falphago-in-healthcare-IBM1-768x563.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F04\u002Falphago-in-healthcare-IBM1-512x375.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F04\u002Falphago-in-healthcare-IBM1-341x250.jpg 341w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F04\u002Falphago-in-healthcare-IBM1.jpg 800w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: www.time.com\n\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>In addition to Watson Health’s \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-in-healthcare-2021\u002F\" target=\"_blank\">previous challenges and negative press\u003C\u002Fa>, other factors led to the decision. Even if the unit brings in around $1 billion in annual revenue, the \u003Cem>WSJ\u003C\u002Fem>’s sources say that it isn’t thought of as being currently profitable. The report \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.zdnet.com\u002Farticle\u002Fibm-is-reportedly-considering-a-sale-of-its-watson-health-business\u002F\" target=\"_blank\">also notes\u003C\u002Fa> that exploring a sale might be “\u003Cem>in part because physicians were hesitant to adopt artificial intelligence\u003C\u002Fem>.”\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>4. DeepMind working on the mother of all A.I. algorithms\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>In October, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fventurebeat.com\u002F2021\u002F10\u002F12\u002Fdeepmind-is-developing-one-algorithm-to-rule-them-all\u002F\" target=\"_blank\">VentureBeat reported\u003C\u002Fa> that Google’s DeepMind is \u003Cem>“developing one algorithm to rule them all”\u003C\u002Fem>. More specifically, the company is working on a new deep learning model with the ability to emulate any algorithm that can work with real-world data.\u003C\u002Fp>\n\n\n\n\u003Cp>While their work is not immediately healthcare related, it is only a matter of time before this is the case, given the potentials of this new model. It could enable building an algorithm that can scan through the entire process of care with digitised data; and then create sub-algorithms for improving the flaws it could discover in the system.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>5. Department of Artificial Intelligence and Human Health launched at the Icahn School of Medicine at Mount Sinai \u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>An interesting development emerged \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fnews\u002Fmount-sinai-launches-new-department-ai-and-human-health\" target=\"_blank\">from the Icahn School of Medicine at Mount Sinai\u003C\u002Fa>: the launch of its Department of Artificial Intelligence and Human Health. It’s the first such department within a medical school and has two main goals. \u003C\u002Fp>\n\n\n\n\u003Cp>Its first aim involves training healthcare scientists to employ healthcare A.I. Secondly, it aims to establish an A.I. framework across its medical departments. To that end, the new department will also promote collaboration between medical and computer scientists as their work intersects within the digital health field.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>6. Alphabet’s new A.I.-powered drug discovery company\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Google’s life science branch, Alphabet, took some interest in A.I.-powered drug discovery and \u003Ca href=\"https:\u002F\u002Fwww.theverge.com\u002F2021\u002F11\u002F4\u002F22763535\u002Fgoogle-alphabet-drug-discovery-deepmind-ai\" target=\"_blank\" rel=\"noreferrer noopener\">launched a new company\u003C\u002Fa> to focus on such efforts. Named Isomorphic Laboratories, it will leverage DeepMind’s A.I. work on predicting protein structure. From the latter, the new company will work on developing new models that can predict the interaction of drugs with the human body. \u003C\u002Fp>\n\n\n\n\u003Cp>With \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftop-companies-using-a-i-in-drug-discovery-and-development\u002F\" target=\"_blank\">a growing number of companies\u003C\u002Fa> using A.I. in drug discovery, it will be interesting to witness what Isomorphic Laboratories, aided by Google’s resources, can come up with.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>7. An A.I. dermatology assistant from Google\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Google is also leveraging its A.I. expertise in the consumer-facing space. The tech giant introduced \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fblog.google\u002Ftechnology\u002Fhealth\u002Fai-dermatology-preview-io-2021\u002F\" target=\"_blank\">its A.I.-powered dermatology app\u003C\u002Fa> in May. In addition to providing patients with insights into their skin lesions, the app also \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fjamanetwork.com\u002Fjournals\u002Fjamanetworkopen\u002Ffullarticle\u002F2779250\" target=\"_blank\">helps dermatologists and non-specialists\u003C\u002Fa> better interpret skin conditions. It only requires an appropriate photograph using a phone and having it assessed via the dedicated URL or app. Such a tool can be beneficial in low-resource areas or where dermatologists are not easily accessible.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_274-01-768x432.png\" alt=\"Emerging Trend Alert – Skin Checking Algorithms\" class=\"wp-image-34783\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_274-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_274-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_274-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_274-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Skin Checking Algorithms\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>8. Guide to photographing skin of color accurately in clinical settings\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>It’s not only Google that is investing in A.I.-enabled dermatology apps but \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-skin-care-top-8-dermatology-apps\u002F\" target=\"_blank\">a host of startups\u003C\u002Fa> have also launched similar tools. However, their usability \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.theverge.com\u002F22778114\u002Fmedical-photography-racial-bias\" target=\"_blank\">often does not take into consideration\u003C\u002Fa> darker-skinned patients. This can result in worse quality of care for this demographic.\u003C\u002Fp>\n\n\n\n\u003Cp>Dermatologist Jenna Lester experienced this issue with her patients and set out to address the issue. She \u003Ca href=\"https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002F10.1111\u002Fbjd.19811\" target=\"_blank\" rel=\"noreferrer noopener\">co-authored a paper\u003C\u002Fa> in the British Journal of Dermatology that acts as a guide to accurately take pictures of skin of colour for monitoring in clinical settings.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>9. A.I. tool to assist in COVID-19 treatment selection\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Help might be underway from A.I. to help select drugs to treat patients with COVID-19 complications. Researchers from Emory University and Georgia Tech \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fpharmaphorum.com\u002Fnews\u002Fai-tool-helps-doctors-select-best-drugs-for-covid-patients\u002F\" target=\"_blank\">developed the MOATAI-VIR algorithm\u003C\u002Fa> which can suggest FDA-approved drugs that could be considered to treat these. The scientists also postulate that their A.I. tool could be applied to future viral outbreaks as well.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>10. Predictive tools haven’t made a real difference in the fight against COVID\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>While the news shared so far has been optimistic about healthcare A.I., the last one on the list provides a more sober look at its assistance in fighting against COVID-19. While \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.technologyreview.com\u002F2021\u002F07\u002F30\u002F1030329\u002Fmachine-learning-ai-failed-covid-hospital-diagnosis-pandemic\" target=\"_blank\">several hundreds of predictive tools\u003C\u002Fa> were developed for this purpose, studies conclude that they have nevertheless not made a significant difference.\u003C\u002Fp>\n\n\n\n\u003Cp>The U.K.’s Turing Institute \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.turing.ac.uk\u002Fsites\u002Fdefault\u002Ffiles\u002F2021-06\u002Fdata-science-and-ai-in-the-age-of-covid_full-report_2.pdf\" target=\"_blank\">published a report\u003C\u002Fa> in June summarising a series of workshops it held on the matter. It found little impact of A.I. tools in fighting the pandemic. Similarly, \u003Ca href=\"https:\u002F\u002Fwww.bmj.com\u002Fcontent\u002F369\u002Fbmj.m1328\">a study that reviewed over 200 algorithms\u003C\u002Fa> for diagnosis and prognosis of COVID-19 found that almost none of them were fit for clinical use being at high risk of bias. Another\u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs42256-021-00307-0\"> systematic review of over 400 ML tools\u003C\u002Fa> used for similar purposes on radiology images could not identify any for potential clinical use. They attributed the findings to methodological flaws and\u002For underlying biases in those models.\u003C\u002Fp>\n\n\n\n\u003Cp>But while these observations might not be uplifting, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-sober-state-of-artificial-intelligence-in-the-fight-against-covid-19\u002F\">A.I.’s potential in fighting a disease like SARS-CoV-2\u003C\u002Fa> cannot be denied and over time, we can have better-trained models that are better suited for medical use.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small-768x432.png\" alt=\"artificial intelligence and COVID\" class=\"wp-image-27609\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>And this marks a wrap on our top healthcare A.I. news of 2021! We hope they served as a good refresher and will get you excited about the evolution of the field. If you have come across other exciting developments during 2021, do share them with us!\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cem>Written by Dr. Bertalan Meskó & Dr. Pranavsingh Dhunnoo\u003C\u002Fem>\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\n\n\n\u003Cdiv style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\">\u003C\u002Fdiv>\n",false,{"rendered":22,"protected":20},"\u003Cp>As 2021 is about to wrap up, we are reflecting on some of the most important news revolving around artificial intelligence (A.I.) in healthcare. These […]\u003C\u002Fp>\n",16,35861,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33,34,35],7079,504,521,499,800,[37,38,39,40,41,42,43,44],282,6055,7279,821,144,236,266,281,[46,47,48,49],947,950,952,953,[],[52,53],4505,1661,[55,14,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77],"post-37057","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence","category-future-medicine","category-healthcare-design","category-healthcare-policy","tag-ibm-watson","tag-deepmind","tag-alphabet","tag-a-i","tag-artificial-intelligence","tag-fda-2","tag-google-2","tag-ibm","project_category-company","project_category-medical-professionals","project_category-policy-makers","project_category-researchers",{"id":24,"alt_text":27,"caption":27,"description":79,"media_type":80,"media_details":81,"post":109,"source_url":110},"The evolution of artificial intelligence","image",{"width":82,"height":83,"file":84,"sizes":85,"image_meta":107},1920,1080,"2016\u002F08\u002Ftmf_article_288-01.png",{"medium":86,"large":92,"thumbnail":97,"medium_large":101,"1536x1536":102},{"file":87,"width":88,"height":89,"mime-type":90,"source_url":91},"tmf_article_288-01-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01-370x208.png",{"file":93,"width":94,"height":95,"mime-type":90,"source_url":96},"tmf_article_288-01-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01-768x432.png",{"file":98,"width":99,"height":99,"mime-type":90,"source_url":100},"tmf_article_288-01-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01-150x150.png",{"file":93,"width":94,"height":95,"mime-type":90,"source_url":96},{"file":103,"width":104,"height":105,"mime-type":90,"source_url":106},"tmf_article_288-01-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01-1536x864.png",{"aperture":108,"credit":27,"camera":27,"caption":27,"created_timestamp":108,"copyright":27,"focal_length":108,"iso":108,"shutter_speed":108,"title":27,"orientation":108},"0",13650,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F08\u002Ftmf_article_288-01.png",{"cta_type":112,"cta_color":27,"subtitle":27,"related_books":113,"related_posts_footer":116,"related_posts":20},"subscribe",[114,115],24762,37033,[117,118,119],36453,23749,24971,{"yoast_wpseo_title":121,"yoast_wpseo_metadesc":122,"yoast_wpseo_canonical":15},"Top 10 Healthcare Artificial Intelligence News Of 2021 - The Medical Futurist","As 2021 is about to wrap up, we reflect on some of the most important news revolving around artificial intelligence in healthcare.",{"self":124,"collection":130,"about":133,"author":136,"replies":139,"version-history":142,"predecessor-version":146,"wp:featuredmedia":150,"wp:attachment":153,"wp:term":156,"curies":172},[125],{"href":126,"targetHints":127},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F37057",{"allow":128},[129],"GET",[131],{"href":132},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[134],{"href":135},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[137],{"embeddable":26,"href":138},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F16",[140],{"embeddable":26,"href":141},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=37057",[143],{"count":144,"href":145},21,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F37057\u002Frevisions",[147],{"id":148,"href":149},37529,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F37057\u002Frevisions\u002F37529",[151],{"embeddable":26,"href":152},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F35861",[154],{"href":155},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=37057",[157,160,163,166,169],{"taxonomy":158,"embeddable":26,"href":159},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=37057",{"taxonomy":161,"embeddable":26,"href":162},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=37057",{"taxonomy":164,"embeddable":26,"href":165},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=37057",{"taxonomy":167,"embeddable":26,"href":168},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=37057",{"taxonomy":170,"embeddable":26,"href":171},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=37057",[173],{"name":174,"href":175,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[177],{"id":119,"date":178,"date_gmt":179,"guid":180,"modified":182,"modified_gmt":183,"slug":184,"status":13,"type":14,"link":185,"title":186,"content":188,"excerpt":190,"author":192,"featured_media":193,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":194,"categories":195,"tags":196,"project_category":209,"contact_email_category":210,"yst_prominent_words":211,"class_list":228,"better_featured_image":242,"acf":280,"yoast_meta":289,"_links":292},"2019-10-03T14:00:50","2019-10-03T12:00:50",{"rendered":181},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=24971&_wpnonce=4b9bf2776c&status=auto-draft&type=post","2023-03-24T15:14:56","2023-03-24T14:14:56","guide-to-artificial-intelligence-in-healthcare","https:\u002F\u002Fmedicalfuturist.com\u002Fguide-to-artificial-intelligence-in-healthcare",{"rendered":187},"Our Guide To Artificial Intelligence In Healthcare",{"rendered":189,"protected":20},"\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"5px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp style=\"color: #555;font-size: 12px;line-height: 14px\">THIS ARTICLE HAS NOT BEEN UPDATED SINCE 2019. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmagazine\">BROWSE OUR LATEST ARTICLES HERE\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Ftd> \u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>In the last couple of years, artificial intelligence moved from being a futuristic promise into a reference point for innovation. The technology also started to transform healthcare with great vigor. That’s why we thought it’s high time to talk about what A.I. can really bring to medicine, where is innovation standing at the moment, and what are the greatest challenges in its application to clinical settings. That’s what you can find in our latest e-book, the updated version of \u003Cem>\u003Ca href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\">A Guide To Artificial Intelligence In Healthcare\u003C\u002Fa>\u003C\u002Fem>. Check it out!\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"397\" height=\"512\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FA-Guide-To-Artificial-Intelligence-In-Healthcare-397x512.png\" alt=\"A Guide To Artificial Intelligence In Healthcare e-book\" class=\"wp-image-24979\"\u002F\u003C\u002Fa srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FA-Guide-To-Artificial-Intelligence-In-Healthcare-397x512.png 397w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FA-Guide-To-Artificial-Intelligence-In-Healthcare-768x990.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002FA-Guide-To-Artificial-Intelligence-In-Healthcare.png 838w\" sizes=\"auto, (max-width: 397px) 100vw, 397px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Deep learning has become part of our lives just as\nkale and reusable cups\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>In the last couple of years, the number of A.I.-related studies, research projects, university courses, and companies has grown exponentially, not to speak about the rapid improvement in the precision of the technology. The initiative called \u003Ca href=\"https:\u002F\u002Faiindex.org\u002F\">A.I. Index\u003C\u002Fa> in its 2018 Annual Report found that \u003Cstrong>from January 2015 to January 2018, the number of active A.I. startups increased by 113 percent, while all active startups only showed a moderate increase of 28 percent.\u003C\u002Fstrong> Research into A.I. is similarly accelerating. Nothing presents that better as the number of studies published in the medical field. \u003Cstrong>While in 2005, there were only 203 research papers on \u003C\u002Fstrong>\u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F\">\u003Cstrong>Pubmed.com\u003C\u002Fstrong>\u003C\u002Fa>\u003Cstrong>, one of the most prestigious databases for life sciences, the number rose to 7668 in 2018 and it’s likely to hit a new record in 2019\u003C\u002Fstrong>. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1080\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002Fdlmr_infographic.png\" alt=\"\" class=\"wp-image-24972\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002Fdlmr_infographic.png 1920w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002Fdlmr_infographic-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002Fdlmr_infographic-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002Fdlmr_infographic-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002Fdlmr_infographic-512x288.png 512w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>It was only a matter of time until the strategic\nimportance of A.I. was recognized by fields other than the tech industry, thus\nin recent years, we could follow closely how it has spilled over from the\neconomy to politics as well.\u003C\u002Fp>\n\n\n\n\u003Cp>Thus, the expressions of deep learning, machine learning, smart algorithms, augmented intelligence, cognitive computing, and of course, artificial intelligence have all become part of our lives just as kale emerged as a necessary ingredient to a healthy diet or reusable mugs as means to reduce disposable coffee cups and the amount of trash. But do you know exactly what these expressions mean? Do you have any idea how they are affecting the medical field? What are the greatest challenges for applying smart algorithms to healthcare settings? What could the future bring?\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>A.I. explained – for all stakeholders in healthcare\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Our updated e-book, \u003Cem>\u003Ca href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\">A Guide To\nArtificial Intelligence In Healthcare\u003C\u002Fa>,\u003C\u002Fem> \u003Cstrong>will introduce the most\nimportant definitions of A.I., highlight the processes, fields, and factors where\nthe technology can have an effect in medicine and could serve as a yardstick\nfor anyone who is interested in the most current snapshot about smart\nalgorithms and healthcare. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>If you are a medical student and\u002For a practicing medical professional, you will get to know the most important definitions of A.I. and all the medical fields where you can expect change in the coming years. Also, we collected the most reliable smart algorithms out there on a \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffda-approvals-for-algorithms-in-medicine\u002F\">complex infographic\u003C\u002Fa>. If you are a tech developer, you can have a rough idea what challenges to expect with regard to datasets or technological limitations before moving into the healthcare field, and if you are a regulator or a policy-maker, you can familiarize yourself with the most important regulatory issues, ethical concerns, and a vision for the future.\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\u002F05\u002Fradiologist_001-1-512x288.png\" alt=\"A.I. in medicine\" class=\"wp-image-24009\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F05\u002Fradiologist_001-1-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F05\u002Fradiologist_001-1-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F05\u002Fradiologist_001-1-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F05\u002Fradiologist_001-1-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F05\u002Fradiologist_001-1-2048x1152.png 2048w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>A yardstick for further innovation to foster the art\nof medicine\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>What’s that vision, you ask? In a nutshell, we are\nsure that \u003Cstrong>A.I. is not going to replace medical professionals; it’s going to\nbe \u003C\u002Fstrong>\u003Cstrong>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century\">the stethoscope of the 21st century\u003C\u002Fa>\u003C\u002Fstrong>\u003Cstrong> and successful collaboration between humans and\ntechnology could bring us the positive change in healthcare that we all so\nstrongly wish for. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Digital health will give us more health data than ever\nbefore, and A.I will help us analyze it to find new ways to treat diseases, to\ncut down on administrative tasks, to streamline medical practices, to optimize\nboth physicians’ and patients’ schedules. However, we should never forget that\nthey are going to be tools in the hands of physicians – and not the other way\naround. Compassionate care, empathy, creativity, problem-solving and profound\nhuman connection will never cease to be the terrain of physicians, moreover, it\nwill be enhanced by artificial intelligence.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>If we embrace it, the real art of medicine begins with the era of artificial intelligence.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F1003_tmf_ai_ebook_001-512x288.png\" alt=\"\" class=\"wp-image-24981\"\u002F\u003C\u002Fa srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F1003_tmf_ai_ebook_001-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F1003_tmf_ai_ebook_001-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F1003_tmf_ai_ebook_001-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F1003_tmf_ai_ebook_001-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002F1003_tmf_ai_ebook_001.png 1920w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Check out the updated version of \u003Cem>\u003Ca href=\"https:\u002F\u002Fleanpub.com\u002FArtificialIntelligenceinHealthcare\">A Guide To Artificial Intelligence In Healthcare\u003C\u002Fa>\u003C\u002Fem>.\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":191,"protected":20},"\u003Cp>In the last couple of years, artificial intelligence moved from being a futuristic promise into a reference point for innovation. The technology also started to transform healthcare with great vigor. That’s why we thought it’s high time to talk about what A.I. can really bring to medicine, where does innovation stand at the moment, and what are the greatest challenges in its application to clinical settings. That’s what you can find in our latest e-book, the updated version of A Guide To Artificial Intelligence In Healthcare. Check it 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