[{"data":1,"prerenderedAt":162},["ShallowReactive",2],{"slug-a-i-predicts-cardiovascular-risk-from-retinal-images":3},{"post":4,"relatedPosts":160,"relatedBooks":161},{"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":42,"contact_email_category":43,"yst_prominent_words":44,"class_list":48,"better_featured_image":65,"acf":103,"yoast_meta":104,"_links":107},17270,"2018-02-21T18:13:57","2018-02-21T16:13:57",{"rendered":9},"http:\u002F\u002Fmedicalfuturist.com\u002F?p=17270","2022-05-19T12:28:16","2022-05-19T10:28:16","a-i-predicts-cardiovascular-risk-from-retinal-images","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fa-i-predicts-cardiovascular-risk-from-retinal-images",{"rendered":17},"Artificial Intelligence Predicts Cardiovascular Risk From Retinal Images",{"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 2018. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW.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>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\n\n\n\u003Cp>Google researchers predicted cardiovascular risk factors not previously thought to be quantifiable in retinal images using artificial intelligence, according to a study published in \u003Cem>Nature Biomedical Engineering\u003C\u002Fem>. Scientists were able to identify risk factors such as age, gender, smoking status, blood pressure and major adverse cardiac events by only looking at the eye.\u003C\u002Fp>\n\n\n\n\u003C!--more-->\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Cardiovascular diseases are lethal and widespread\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Ca href=\"http:\u002F\u002Fwww.who.int\u002Fcardiovascular_diseases\u002Fresources\u002Fatlas\u002Fen\u002F\">According to the WHO\u003C\u002Fa>, an estimated 17 million people die of cardiovascular diseases, particularly heart attacks and strokes, every year. Looking only at the statistics of heart diseases, one in every fourth deaths occurs due to heart conditions in the United States. The European Society of Cardiology p\u003Ca href=\"https:\u002F\u002Fwww.sciencedaily.com\u002Freleases\u002F2017\u002F11\u002F171128092313.htm\">ublished its study about the heart health of 45 countries\u003C\u002Fa> (European nations, some former Soviet states, North Africa and parts of the Middle East). It turned out that heart disease accounts for over 50 percent of all deaths in many middle-income European countries, compared with less than 30 percent in the high-income countries of Western Europe. These terrifying numbers truly show the need for prevention and timely intervention. In the future, artificial intelligence-based predictions could be the answer!\u003C\u002Fp>\n\n\n\n\u003Cp>As the authors of the study explained, the \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41551-018-0195-0#ref-CR9\">screening of cardiovascular disease risk requires a variety of variables\u003C\u002Fa> derived from the patient’s history and blood samples, such as age, gender, smoking status, blood pressure, body mass index (BMI), glucose and cholesterol levels. Most cardiovascular risk calculators use some combination of these parameters to identify patients at risk of experiencing either a major cardiovascular event or cardiac-related mortality within a given time period, such as ten years. However, some of these parameters may be unavailable.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>A.I.-based retinal imaging opens new horizons in diagnostics\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>The current study’s finding shows new ways for locating signals of cardiovascular risk. As markers of cardiovascular disease can often manifest in the eye, and as deep-learning methods have been used for years for supporting diagnostics of eye diseases, researchers connected the dots.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"620\" height=\"870\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Fattention-maps.jpg\" alt=\"A.I.\" class=\"wp-image-17271\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Fattention-maps.jpg 620w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Fattention-maps-365x512.jpg 365w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Fattention-maps-178x250.jpg 178w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Fattention-maps-768x1077.jpg 768w\" sizes=\"auto, (max-width: 620px) 100vw, 620px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Although outside physicians told \u003Ca href=\"https:\u002F\u002Fwww.washingtonpost.com\u002Fnews\u002Fthe-switch\u002Fwp\u002F2018\u002F02\u002F19\u002Fgoogle-used-artificial-intelligence-to-predict-heart-attacks-with-the-human-eye\u002F?utm_term=.840d43197e22\">The Washington Post\u003C\u002Fa> that the study needs to be validated and repeated on more people before it gains broader acceptance; as retinal images can be obtained quickly, cheaply and non-invasively, this will probably open new horizons in healthcare.\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\u003Ch2 class=\"wp-block-heading\">\u003Ca href=\"https:\u002F\u002Fthemedicalfuturist.us8.list-manage.com\u002Fsubscribe?u=5b42ebb547c75ff669a6572d3&id=efd6a3cd08\">\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",false,{"rendered":22,"protected":20},"\u003Cp>Google researchers predicted cardiovascular risk factors not previously thought to be quantifiable in retinal images using artificial intelligence, according to a study published in Nature Biomedical Engineering. Scientists were able to identify risk factors such as age, gender, smoking status, blood pressure and major adverse cardiac events by only looking at the eye.\u003C\u002Fp>\n",6,17274,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31],504,[33,34,35,36,37,38,39,40,41],266,289,821,822,823,134,144,207,246,[],[],[45,46,47],1729,1883,3333,[49,14,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64],"post-17270","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-google-2","tag-innovation","tag-a-i","tag-eye","tag-cardiovascular","tag-ai","tag-artificial-intelligence","tag-digital-health","tag-future",{"id":24,"alt_text":66,"caption":27,"description":27,"media_type":67,"media_details":68,"post":5,"source_url":102},"A.I.","image",{"width":69,"height":70,"file":71,"sizes":72,"image_meta":99},870,457,"2018\u002F02\u002Feye-focus.png",{"medium":73,"large":79,"thumbnail":84,"medium_large":88,"large_old_512x269":89,"medium_old_458x240":94},{"file":74,"width":75,"height":76,"mime-type":77,"source_url":78},"eye-focus-370x208.png",370,208,"image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Feye-focus-370x208.png",{"file":80,"width":81,"height":82,"mime-type":77,"source_url":83},"eye-focus-768x403.png",768,403,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Feye-focus-768x403.png",{"file":85,"width":86,"height":86,"mime-type":77,"source_url":87},"eye-focus-150x150.png",150,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Feye-focus-150x150.png",{"file":80,"width":81,"height":82,"mime-type":77,"source_url":83},{"file":90,"width":91,"height":92,"mime-type":77,"source_url":93},"eye-focus-512x269.png",512,269,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Feye-focus-512x269.png",{"file":95,"width":96,"height":97,"mime-type":77,"source_url":98},"eye-focus-458x240.png",458,240,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Feye-focus-458x240.png",{"aperture":100,"credit":27,"camera":27,"caption":27,"created_timestamp":100,"copyright":27,"focal_length":100,"iso":100,"shutter_speed":100,"title":27,"orientation":100,"keywords":101},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2018\u002F02\u002Feye-focus.png",{"related_posts":20,"related_posts_footer":20,"cta_type":27,"cta_color":27,"subtitle":27,"related_books":20},{"yoast_wpseo_title":105,"yoast_wpseo_metadesc":106,"yoast_wpseo_canonical":15},"Artificial Intelligence Predicts Cardiovascular Risk From Retinal Images - 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