{"id":217099,"date":"2025-07-03T06:26:48","date_gmt":"2025-07-03T11:26:48","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/07\/ai-predicts-patients-likely-to-die-of-sudden-cardiac-arrest"},"modified":"2025-07-03T06:26:48","modified_gmt":"2025-07-03T11:26:48","slug":"ai-predicts-patients-likely-to-die-of-sudden-cardiac-arrest","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/07\/ai-predicts-patients-likely-to-die-of-sudden-cardiac-arrest","title":{"rendered":"AI predicts patients likely to die of sudden cardiac arrest"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-predicts-patients-likely-to-die-of-sudden-cardiac-arrest2.jpg\"><\/a><\/p>\n<p>A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the system\u2019s ability to analyze long-underused heart imaging, alongside a full spectrum of medical records, to reveal previously hidden information about a patient\u2019s heart health.<\/p>\n<p>The work, led by Johns Hopkins University researchers, could save many lives and also spare many people unnecessary medical interventions, including the implantation of unneeded defibrillators.<\/p>\n<p>\u201cCurrently, we have patients dying in the prime of their lives because they aren\u2019t protected and others who are putting up with defibrillators for the rest of their lives with no benefit,\u201d said senior author Natalia Trayanova, a researcher focused on using artificial intelligence in cardiology. \u201cWe have the ability to predict with very high accuracy whether a patient is at very high risk for <a href=\"https:\/\/medicalxpress.com\/tags\/sudden+cardiac+death\/\" rel=\"tag\" class=\"\">sudden cardiac death<\/a> or not.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the system\u2019s ability to analyze long-underused heart imaging, alongside a full spectrum of medical records, to reveal previously hidden information about a patient\u2019s heart health. The work, led by Johns Hopkins University researchers, could save [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,1495,6],"tags":[],"class_list":["post-217099","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-health","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/217099","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=217099"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/217099\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=217099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=217099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=217099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}