{"id":1343,"date":"2020-07-14T11:57:31","date_gmt":"2020-07-14T15:57:31","guid":{"rendered":"https:\/\/mlmed.org\/w\/?page_id=1343"},"modified":"2020-07-31T16:36:10","modified_gmt":"2020-07-31T20:36:10","slug":"in-the-media","status":"publish","type":"page","link":"https:\/\/mlmed.org\/w\/in-the-media\/","title":{"rendered":"In the media"},"content":{"rendered":"<p>2020<\/p>\n<ul>\n<li>July\n<ul>\n<li><a href=\"https:\/\/www.cscience.ca\/2020\/07\/31\/lia-et-ses-applications-dans-le-suivi-des-pneumonies-associees-a-la-covid-19\/\">CScienceIA &#8211; AI and its applications in monitoring pneumonia associated with covid-19 (In French)<\/a><\/li>\n<li><a href=\"https:\/\/www.statnews.com\/2020\/07\/27\/covid19-ai-researchers-amass-patient-lung-scans\/\" target=\"_blank\" rel=\"noopener noreferrer\">STAT News &#8211; As Covid-19 surges, researchers amass lung scans to build AI systems for patient care<\/a><\/li>\n<\/ul>\n<\/li>\n<li>May\n<ul>\n<li><a href=\"https:\/\/www.forbes.com\/sites\/craigsmith\/2020\/05\/28\/the-hidden-dilemma-in-harnessing-ai-to-combat-covid-19\/#79eeb76e48f0\">Forbes &#8211; The Hidden Dilemma In Harnessing AI To Combat Covid-19<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=LbMtt0oJzsE\">CIFAR Interview &#8211; X-rays and machine learning to predict COVID-19 severity &#8211; Marzyeh Ghassemi &amp; Joseph Paul Cohen<\/a><\/li>\n<\/ul>\n<\/li>\n<li>April\n<ul>\n<li><a href=\"https:\/\/www.zdnet.com\/article\/as-covid-19-data-sets-become-more-accessible-novel-coronavirus-pandemic-may-be-most-visualized-ever\/\">ZDNet &#8211; As COVID-19 data sets become more accessible, novel coronavirus pandemic may be most visualized ever<\/a><\/li>\n<li><a href=\"https:\/\/www.dailymail.co.uk\/sciencetech\/article-8191549\/Artificial-Intelligence-help-diagnose-COVID-19-using-X-RAYS.html\">DailyMail &#8211; Artificial Intelligence that can diagnose COVID-19 using X-RAYS could help identify cases of coronavirus more quickly and predict outcomes for patients, computer programmers claim<\/a><\/li>\n<\/ul>\n<\/li>\n<li>March\n<ul>\n<li><a href=\"https:\/\/ai-against-covid.ca\/datasets\/\">COVID-19 Datasets for Machine Learning<\/a><\/li>\n<li><a href=\"https:\/\/www.statnews.com\/2020\/03\/30\/debate-over-artificial-intelligence-to-detect-covid-19-in-lung-scans\/\">STAT News &#8211; Debate flares over using AI to detect Covid-19 in lung scans<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>2019<\/p>\n<ul>\n<li><a href=\"https:\/\/www.fastcompany.com\/90326445\/this-free-ai-reads-x-rays-as-well-as-doctors\">Fast Company &#8211; This free AI reads X-rays as well as doctors<\/a><\/li>\n<li><a href=\"https:\/\/www.healthcareitnews.com\/ai-powered-healthcare\/how-ai-letting-patients-read-their-own-x-rays\">AI Powered Healthcare &#8211; How AI is letting patients read their own X-rays (Our system is not designed for patients)<\/a><\/li>\n<li><a href=\"https:\/\/medium.com\/@BalintBotz\/evaluating-chest-x-rays-using-ai-in-your-browser-testing-chester-7bc099f80b29\">Evaluating chest x-rays using AI in your browser?\u200a\u2014\u200atesting Chester<\/a><\/li>\n<li><a href=\"https:\/\/medit.tech\/memezawa-column-vol2\/\">Amemezawa Satoshi column &#8211; I tried &#8220;Free chest X-ray diagnostic support AI&#8221; (In Japanese)<\/a><\/li>\n<li><a href=\"https:\/\/www.aiin.healthcare\/topics\/diagnostics\/free-online-tool-reads-chest-x-rays\">AI in Healthcare &#8211; Free online tool reads chest X-rays as well as physicians<\/a><\/li>\n<li><a href=\"https:\/\/aijs.rocks\/inspire\/chest-xray-diagnosis\/\" target=\"_blank\" rel=\"noopener noreferrer\">Article in AIJS<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>2020 July CScienceIA &#8211; AI and its applications in monitoring pneumonia associated with covid-19 (In French) STAT News &#8211; As Covid-19 surges, researchers amass lung scans to build AI systems for patient care May Forbes &#8211; The Hidden Dilemma In Harnessing AI To Combat Covid-19 CIFAR Interview &#8211; X-rays and machine learning to predict COVID-19 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/pages\/1343"}],"collection":[{"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/comments?post=1343"}],"version-history":[{"count":8,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/pages\/1343\/revisions"}],"predecessor-version":[{"id":1460,"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/pages\/1343\/revisions\/1460"}],"wp:attachment":[{"href":"https:\/\/mlmed.org\/w\/wp-json\/wp\/v2\/media?parent=1343"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}