{"id":4133,"date":"2023-07-18T15:08:25","date_gmt":"2023-07-18T20:08:25","guid":{"rendered":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/?p=4133"},"modified":"2023-07-18T15:09:05","modified_gmt":"2023-07-18T20:09:05","slug":"ai-fast-tracks-disease-risk-predictions","status":"publish","type":"post","link":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/2023\/07\/18\/ai-fast-tracks-disease-risk-predictions\/","title":{"rendered":"AI Fast-Tracks Disease Risk Predictions"},"content":{"rendered":"<div class=\"panel body-content\"><div class=\"panel__container\">\n<p><a href=\"https:\/\/neurosciencenews.com\/ai-health-predicition-23646\/\">Neuroscience News<\/a><\/p>\n\n\n\n<p><strong>Summary:&nbsp;<\/strong>Researchers developed AI software that rapidly analyzes bone density scans to predict a person\u2019s future risk of health conditions, such as heart attacks, stroke, falls, fractures, and dementia.<\/p>\n\n\n\n<p>The software looks for signs of abdominal aortic calcification (AAC), a predictor of these conditions. While human experts typically take 5-15 minutes to analyze each scan, the AI can process 60,000 images in one day.<\/p>\n\n\n\n<p>The algorithm accurately matches expert conclusions 80% of the time, representing a significant advancement in early detection and disease monitoring.<\/p>\n\n\n\n<p><strong>Key Facts:<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>The AI software is capable of analyzing bone density scans to detect signs of abdominal aortic calcification (AAC), a predictor of future health conditions.<\/li>\n\n\n\n<li>The AI can process 60,000 images in one day, compared to a human expert who typically takes 5-15 minutes per image.<\/li>\n\n\n\n<li>The algorithm matches the conclusions of human experts 80% of the time, and only 3% of high AAC levels were incorrectly diagnosed as low by the software.<\/li>\n<\/ol>\n\n\n\n<p><strong>Source:&nbsp;<\/strong>Edith Cowan University<\/p>\n\n\n\n<p><strong>Thanks to artificial intelligence, we will soon be able to predict our risk of developing serious health conditions later in life, at the&nbsp;press of a button.&nbsp;<\/strong><\/p>\n\n\n\n<p>Abdominal aortic calcification, or AAC, is a calcification which can build up within the walls of the abdominal aorta and predicts your risk of developing cardiovascular disease events such as heart attacks and stroke.&nbsp;<\/p>\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Neuroscience News Summary:&nbsp;Researchers developed AI software that rapidly analyzes bone density scans to predict a person\u2019s future risk of health conditions, such as heart attacks, stroke, falls, fractures, and dementia. The software looks for signs of abdominal aortic calcification (AAC), a predictor of these conditions. While human experts typically take 5-15 minutes to analyze each [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[14],"tags":[],"class_list":["post-4133","post","type-post","status-publish","format-standard","hentry","category-science-and-tech"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/posts\/4133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/comments?post=4133"}],"version-history":[{"count":1,"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/posts\/4133\/revisions"}],"predecessor-version":[{"id":4134,"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/posts\/4133\/revisions\/4134"}],"wp:attachment":[{"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/media?parent=4133"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/categories?post=4133"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.unmc.edu\/healthsecurity\/transmission\/wp-json\/wp\/v2\/tags?post=4133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}