{"id":255665,"date":"2026-05-26T06:57:00","date_gmt":"2026-05-26T10:57:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/05\/26\/artificial-intelligence-models-show-high-accuracy-in-cardiac-care\/"},"modified":"2026-05-26T07:15:12","modified_gmt":"2026-05-26T11:15:12","slug":"artificial-intelligence-models-show-high-accuracy-in-cardiac-care","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/05\/26\/artificial-intelligence-models-show-high-accuracy-in-cardiac-care\/","title":{"rendered":"Artificial intelligence models show high accuracy in cardiac care"},"content":{"rendered":"<p><a href=\"https:\/\/www.news-medical.net\/news\/20260526\/Artificial-intelligence-models-show-high-accuracy-in-cardiac-care.aspx\">Artificial intelligence models show high accuracy in cardiac care<\/a><\/p>\n<p><a href=\"https:\/\/www.news-medical.net\/news\/20260526\/Artificial-intelligence-models-show-high-accuracy-in-cardiac-care.aspx\">https:\/\/www.news-medical.net\/news\/20260526\/Artificial-intelligence-models-show-high-accuracy-in-cardiac-care.aspx<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-26 06:57:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.news-medical.net\">www.news-medical.net<\/a><\/p>\n<p>            <span itemprop=\"author\" itemscope=\"\" itemtype=\"http:\/\/schema.org\/Organization\"><\/span><\/p>\n<p>Cardiac arrest remains one of the most urgent and unforgiving medical emergencies, where every minute can determine survival and neurological recovery. Traditional care depends on rapid recognition, high-quality cardiopulmonary resuscitation, defibrillation, advanced life support, and post-arrest management, yet survival rates remain limited, especially after out-of-hospital cardiac arrest. At the same time, hospitals and emergency systems now generate large volumes of data from electronic health records, monitoring devices, emergency calls, and wearable technologies. These data streams create opportunities for artificial intelligence, but many models remain retrospective, difficult to interpret, or insufficiently tested across diverse clinical settings. Because of these challenges, in-depth research into artificial intelligence across the full cardiac arrest care continuum is needed.<\/p>\n<p>Researchers from the Department of Intensive Care Medicine, Sun Yat-sen University, and the Department of Emergency Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, published (DOI: 10.5847\/wjem.j.1920-8642.2026.025) the review in the 2026 issue of World Journal of Emergency Medicine. The article provides a broad overview of artificial intelligence applications in both in-hospital cardiac arrest and out-of-hospital cardiac arrest, covering prediction, resuscitation support, prognosis, large language models, emergency call handling, wearable detection, rhythm identification, education, and extracorporeal cardiopulmonary resuscitation candidate identification.<\/p>\n<p>The review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and searched PubMed, Embase, the Cochrane Library, and Web of Science from database inception to June 10, 2025. After screening 2,108 records, the team included 114 studies and assessed 92 artificial intelligence models. Most studies focused on pre-arrest prediction, especially in-hospital cardiac arrest,&#8230;<\/p>\n<p><a href=\"https:\/\/www.news-medical.net\/news\/20260526\/Artificial-intelligence-models-show-high-accuracy-in-cardiac-care.aspx\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence models show high accuracy in cardiac care https:\/\/www.news-medical.net\/news\/20260526\/Artificial-intelligence-models-show-high-accuracy-in-cardiac-care.aspx Publish Date: 2026-05-26 06:57:00 Source&#8230;<\/p>\n","protected":false},"author":1,"featured_media":255666,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.news-medical.net\/image-handler\/picture\/2014\/7\/Cardiac_Arrest-620x480.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-255665","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/255665"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=255665"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/255665\/revisions"}],"predecessor-version":[{"id":255667,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/255665\/revisions\/255667"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/255666"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=255665"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=255665"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=255665"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}