{"id":62105,"date":"2025-10-29T01:06:06","date_gmt":"2025-10-29T00:06:06","guid":{"rendered":"https:\/\/pharma-trend.com\/en\/ai-powered-electrocardiogram-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find\/"},"modified":"2025-10-29T01:06:06","modified_gmt":"2025-10-29T00:06:06","slug":"ai-powered-electrocardiogram-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find","status":"publish","type":"post","link":"https:\/\/pharma-trend.com\/en\/ai-powered-electrocardiogram-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find\/","title":{"rendered":"AI-Powered Electrocardiogram Improves Heart Attack Detection and Could Help Save Lives Faster, Studies Find"},"content":{"rendered":"<div>\n<p>SAN FRANCISCO&#8211;(BUSINESS WIRE)&#8211;<a href=\"https:\/\/twitter.com\/hashtag\/AI?src=hash\" target=\"_blank\">#AI<\/a>&#8211;PMcardio, a leader in <b>AI-powered heart diagnostics<\/b>, announced today that its <b>Queen of Hearts\u2122 algorithm<\/b> demonstrated breakthrough accuracy in detecting acute heart attacks, known as <b>STEMIs<\/b>, in a major, multi-center U.S. validation study. The results, presented at the <b>Transcatheter Cardiovascular Therapeutics (TCT) 2025 conference<\/b> and published in <b>JACC: Cardiovascular Interventions<\/b>, showed that the AI tool can <b>significantly improve heart attack recognition while reducing unnecessary procedures<\/b>\u2014 achieving the best of both worlds: <b>higher accuracy and fewer false alarms<\/b>.<\/p>\n<p><a href=\"https:\/\/mms.businesswire.com\/media\/20251028082568\/en\/2623509\/5\/pmcardio-queen-of-hearts-ai-tool-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find.jpg\"><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20251028082568\/en\/2623509\/22\/pmcardio-queen-of-hearts-ai-tool-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find.jpg\"><\/a><br \/><a href=\"https:\/\/mms.businesswire.com\/media\/20251028082568\/en\/2623509\/5\/pmcardio-queen-of-hearts-ai-tool-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find.jpg\"><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20251028082568\/en\/2623509\/21\/pmcardio-queen-of-hearts-ai-tool-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find.jpg\"><\/a><br \/><a href=\"https:\/\/mms.businesswire.com\/media\/20251028082568\/en\/2623487\/5\/pmcardio-square-by-powerfulmedical-default.jpg\"><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20251028082568\/en\/2623487\/22\/pmcardio-square-by-powerfulmedical-default.jpg\"><\/a><br \/><a href=\"https:\/\/mms.businesswire.com\/media\/20251028082568\/en\/2623487\/5\/pmcardio-square-by-powerfulmedical-default.jpg\"><img decoding=\"async\" src=\"https:\/\/mms.businesswire.com\/media\/20251028082568\/en\/2623487\/21\/pmcardio-square-by-powerfulmedical-default.jpg\"><\/a><\/p>\n<p>\nIn one of the <b>largest real-world<\/b> studies of its kind, researchers at <b>Harvard\u2019s Beth Israel Deaconess Medical Center (Boston), UC Davis (Sacramento), and UTHealth (Houston)<\/b> reviewed more than <b>1,000 patients<\/b> treated emergently for acute heart attack suspicion. The <b>Queen of Hearts\u2122 AI correctly identified 92% of true heart attacks<\/b> on the first ECG\u2014<b>compared with 71% using standard triage<\/b>\u2014while cutting <b>false alarms from 42% to just 8%<\/b>, representing a fivefold reduction.<\/p>\n<p>\n\u201cThese results show that <b>AI ECG analysis can help clinicians diagnose heart attacks faster and more accurately<\/b>, getting patients to treatment sooner,\u201d said <b>Dr. Timothy D. Henry, Director of Clinical Research at The Christ Hospital<\/b> in Cincinnati, \u201cthis is especially important for patients transferred from smaller or rural hospitals that don\u2019t perform emergency heart procedures, where only <b>17% currently receive timely treatment<\/b>.\u201d<\/p>\n<p>\nThe findings build on encouraging results from the ongoing <b>DIFOCCULT-3 clinical trial<\/b>\u2014the <b>largest randomized study of AI in cardiology<\/b>\u2014enrolling <b>6,000 patients<\/b> across <b>18 hospitals<\/b> in Turkey. Early data show that patients in the <b>AI-assisted group received treatment up to five hours faster<\/b> and experienced <b>improved short-term outcomes<\/b>. Data on the impact on long-term survival are expected next year.<\/p>\n<p>\n\u201cThese consistent results from both real-world and randomized studies highlight how <b>AI could improve long-term outcomes<\/b>,\u201d said <b>Dr. Robert Herman, PhD, Chief Medical Officer and Co-Founder of Powerful Medical<\/b>, \u201csince up to <b>40% of heart attacks present with atypical ECGs<\/b>, our technology helps ensure these patients receive <b>lifesaving care in time<\/b>.\u201d<\/p>\n<p>\nThe <b>Queen of Hearts\u2122 algorithm<\/b>, trained on <b>millions of ECGs<\/b>, also provides <b>visual explanations<\/b> that show clinicians which parts of the ECG most influence its decisions\u2014helping them better understand and trust the AI\u2019s findings. Together, these studies underscore the platforms potential to <b>transform emergency cardiac care <\/b>by improving diagnostic accuracy, reducing unnecessary procedures, and <b>saving more lives worldwide<\/b>.<\/p>\n<p> <b>Contacts<\/b> <\/p>\n<p>\nLucia Bojkovska<br \/>\n<br \/><a target=\"_blank\" href=\"m&#97;&#x69;&#x6c;t&#111;&#x3a;&#x70;r&#64;&#112;&#x6f;&#x77;e&#114;&#x66;&#x75;l&#109;&#x65;&#x64;i&#99;&#97;&#x6c;&#x2e;c&#111;&#x6d;\" rel=\"nofollow\" shape=\"rect\">p&#114;&#x40;&#x70;&#x6f;w&#101;&#x72;&#x66;&#x75;l&#109;&#x65;&#x64;&#x69;c&#97;&#x6c;&#x2e;&#x63;o&#109;<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>SAN FRANCISCO&#8211;(BUSINESS WIRE)&#8211;#AI&#8211;PMcardio, a leader in AI-powered heart diagnostics, announced today that its Queen of Hearts\u2122 algorithm demonstrated breakthrough accuracy in detecting acute heart attacks, known as STEMIs, in a major, multi-center U.S. validation study. The results, presented at the Transcatheter Cardiovascular Therapeutics (TCT) 2025 conference and published in JACC: Cardiovascular Interventions, showed that the &#8230; <span class=\"more\"><a class=\"more-link\" href=\"https:\/\/pharma-trend.com\/en\/ai-powered-electrocardiogram-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find\/\">[Read more&#8230;]<\/a><\/span><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":{"0":"entry","1":"post","2":"publish","3":"author-business","4":"post-62105","6":"format-standard","7":"category-industry"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI-Powered Electrocardiogram Improves Heart Attack Detection and Could Help Save Lives Faster, Studies Find - Pharma Trend<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/pharma-trend.com\/en\/ai-powered-electrocardiogram-improves-heart-attack-detection-and-could-help-save-lives-faster-studies-find\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-Powered Electrocardiogram Improves Heart Attack Detection and Could Help Save Lives Faster, Studies Find - Pharma Trend\" \/>\n<meta property=\"og:description\" content=\"SAN FRANCISCO&#8211;(BUSINESS WIRE)&#8211;#AI&#8211;PMcardio, a leader in AI-powered heart diagnostics, announced today that its Queen of Hearts\u2122 algorithm demonstrated breakthrough accuracy in detecting acute heart attacks, known as STEMIs, in a major, multi-center U.S. validation study. 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