{"id":3550,"date":"2024-07-11T22:47:54","date_gmt":"2024-07-11T22:47:54","guid":{"rendered":"https:\/\/healthmedicinet.com\/review\/training-ais-view-on-clinically-relevant-areas-improves-medical-image-analysis\/"},"modified":"2024-07-11T22:47:54","modified_gmt":"2024-07-11T22:47:54","slug":"training-ais-view-on-clinically-relevant-areas-improves-medical-image-analysis","status":"publish","type":"post","link":"https:\/\/healthmedicinet.com\/review\/training-ais-view-on-clinically-relevant-areas-improves-medical-image-analysis\/","title":{"rendered":"Training AI\u2019s view on clinically relevant areas improves medical image analysis"},"content":{"rendered":"<p>Credit: Journal of Biomedical Informatics (2024). DOI: 10.1016\/j.jbi.2024.104673 Duke-NUS Quantitative Biology and Medicine Ph.D. candidate Yuan Han has developed a new method to improve the accuracy of AI when it is used to diagnose a collapsed lung, or pneumothorax, by limiting the area of a chest X-ray that AI uses when interpreting the image. Working with radiologists to understand how they read such X-rays, Yuan created a simple filter or template that is applied over the X-ray to direct the AI&#8217;s analysis. With its sharpened focus, Yuan&#8217;s model reduced the <a class=\"read-more-link\" href=\"https:\/\/healthmedicinet.com\/training-ais-view-on-clinically-relevant-areas-improves-medical-image-analysis\/\">Read More<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Credit: Journal of Biomedical Informatics (2024). DOI: 10.1016\/j.jbi.2024.104673 Duke-NUS Quantitative Biology and Medicine Ph.D. candidate Yuan Han has developed a new method to improve the accuracy of AI when it is used to diagnose a collapsed lung, or pneumothorax, by limiting the area of a chest X-ray that AI uses when interpreting the image. Working [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3550","post","type-post","status-publish","format-standard","hentry","category-health-news"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/posts\/3550","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/comments?post=3550"}],"version-history":[{"count":0,"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/posts\/3550\/revisions"}],"wp:attachment":[{"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/media?parent=3550"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/categories?post=3550"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/healthmedicinet.com\/review\/wp-json\/wp\/v2\/tags?post=3550"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}