{"id":6621,"date":"2025-08-07T12:57:30","date_gmt":"2025-08-07T12:57:30","guid":{"rendered":"https:\/\/www.talentelgia.com\/blog\/?p=6621"},"modified":"2025-08-07T12:57:31","modified_gmt":"2025-08-07T12:57:31","slug":"ai-in-cardiovascular-disease-detection","status":"publish","type":"post","link":"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/","title":{"rendered":"AI in Cardiovascular Disease Detection"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_73 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/#Challenge_In_Current_Cardiovascular_Disease_Detection\" title=\"Challenge In Current Cardiovascular Disease Detection&nbsp;\">Challenge In Current Cardiovascular Disease Detection&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/#Objective\" title=\"Objective\">Objective<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/#Solution_Methodology\" title=\"Solution &amp; Methodology\">Solution &amp; Methodology<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/#Key_Findings\" title=\"Key Findings\">Key Findings<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/#Innovation_Novelty\" title=\"Innovation &amp; Novelty\">Innovation &amp; Novelty<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/#Clinical_Impact\" title=\"Clinical Impact\">Clinical Impact<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/#Limitations_Future_Scope\" title=\"Limitations &amp; Future Scope\">Limitations &amp; Future Scope<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-cardiovascular-disease-detection\/#Conclusion\" title=\"Conclusion\">Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n\n<p>Cardiovascular Disease (CVD), including\u2002heart attacks and strokes, is the most common cause of death in the world. Although strategies to prevent cardiovascular disease are available, such as a healthier lifestyle and statin treatment, the\u2002use of which may not always be optimal, identification of risk may be difficult. A new study led by the Cardiovascular Imaging Research Core (CIRC) at <a href=\"https:\/\/www.massgeneral.org\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Massachusetts General Hospital (MGH)<\/a> describes how an AI model, utilizing a routine imaging exam, can be used to rapidly and non-invasively screen for CVD risk factors.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Challenge_In_Current_Cardiovascular_Disease_Detection\"><\/span><strong>Challenge In Current Cardiovascular Disease Detection&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The traditional tools used to predict cardiovascular disease risk, such as the <a href=\"https:\/\/clincalc.com\/cardiology\/ascvd\/pooledcohort.aspx\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Pooled Cohort Eq<\/a><a href=\"https:\/\/clincalc.com\/cardiology\/ascvd\/pooledcohort.aspx\">uations<\/a>, which are endorsed by the American College of Cardiology and the American Heart Association, rely on several inputs \u2014 including lipid profiles, blood pressure readings, a history of diabetes, and more \u2014 many of which are missing or degraded in data from electronic medical records. This not only hinders systematic identification of high-risk patients for pMPD prophylaxis, but it may also lead to unintended consequences such as increased cost and incidence of adverse\u2002effects.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Objective\"><\/span><strong>Objective<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>To address these barriers, the MGH team created a deep learning (Artificial Intelligence) <a href=\"https:\/\/www.talentelgia.com\/blog\/no-code-ai-tools\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Model<\/a> \u2014 called CXR-CVD. It is used to estimate cardiovascular risk using only chest X-ray images, which are far more common and cost-effective compared to clinical risk\u2013scoring tools.<br><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Solution_Methodology\"><\/span><strong>Solution &amp; Methodology<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The scientists trained the\u2002model on hundreds of thousands of already available chest radiographs by applying a Convolutional Neural Network (<a href=\"https:\/\/www.talentelgia.com\/blog\/ai-model-architecture\/#2_Convolutional_Neural_Network\" target=\"_blank\" rel=\"noreferrer noopener\">CNN<\/a>). The AI model taught itself how to recognize patterns indicative of longer-term cardiovascular risk, without the help of conventional clinical inputs. The group\u2019s\u2002results were shared at the <a href=\"https:\/\/www.rsna.org\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Radiological Society of North America (RSNA)<\/a> meeting and received national recognition via the RSNA daily bulletin and CNN.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Key_Findings\"><\/span><strong>Key Findings<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The AI model\u2002for predicting 10-year cardiovascular risk was similar in accuracy to the Pooled Cohort Equation.<\/li>\n\n\n\n<li>The model could accurately predict the\u2002responders and non-responders of statin therapy, even in the absence of classical data.<\/li>\n\n\n\n<li>There are hidden\u2002markers of aging and cardiovascular risks in chest radiographs that AI can capture.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Innovation_Novelty\"><\/span><strong>Innovation &amp; Novelty<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>This study is an unconventional use of AI, taking ordinary diagnostic images to predict\u2002future health events. While gated scans are needed in CT calcium scoring, standard chest radiographs are used in the current model, greatly expanding the possibility of\u2002broadly applying this approach.<\/p>\n\n\n\n<p><strong>Extension: AI-CAC for CT Scans<\/strong><\/p>\n\n\n\n<p>Expanding on this idea, researchers from <a href=\"https:\/\/www.massgeneralbrigham.org\/en\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Mass General Brigham<\/a> have also created <a href=\"https:\/\/www.nature.com\/articles\/s41746-024-01308-0#:~:text=Artificial%20intelligence%20applied%20to%20coronary,events%20prediction%20%7C%20npj%20Digital%20Medicine\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">AI-CAC<\/a>, a deep learning algorithm\u2002that can detect the presence of coronary artery calcium (CAC) on nongated chest CT scans. The tool achieved:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>89.4%\u2002sensitivity for the presence of CAC<\/li>\n\n\n\n<li>87.3% for\u2002CAC score above or below the clinical threshold of 100<\/li>\n\n\n\n<li>\u2002There was a 3.49X increased 10-year mortality with scores &gt; 400, marked predictive value.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Clinical_Impact\"><\/span><strong>Clinical Impact<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Both AI tools, CXR-CVD Risk and AI-CAC,\u2002allow for a shift from reactive care to preventative health based on these new opportunities. Through the use of available imaging data, healthcare systems may more conveniently identify\u2002high-risk patients for interventions that may reduce morbidity, mortality, and long-term healthcare expenses.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Limitations_Future_Scope\"><\/span><strong>Limitations &amp; Future Scope<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>AI-CAC was trained\u2002using veterans only. Subsequent work will aim to confirm the model in outside populations\u2002and evaluate its capacity to serially monitor CAC progression, especially concerning lipid-lowering therapy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<pre class=\"wp-block-verse\">This groundbreaking effort\u2002by the CIRC and Mass General Brigham demonstrates the potential AI has to change the game in the early <a href=\"https:\/\/www.talentelgia.com\/blog\/ai-in-early-disease-detection-through-medical-imaging\/\" target=\"_blank\" rel=\"noreferrer noopener\">detection of cardiovascular diseases<\/a>. These advances preserve, but extract additional value\u2002from, standard imaging examinations, and can enable earlier interventions and improved patient outcomes, with a concomitant reduction in the workload on, and resource requirements of, the clinic.<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Cardiovascular Disease (CVD), including\u2002heart attacks and strokes, is the most common cause of death in the world. Although strategies to prevent cardiovascular disease are available, such as a healthier lifestyle and statin treatment, the\u2002use of which may not always be optimal, identification of risk may be difficult. A new study led by the Cardiovascular Imaging [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":6623,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[151,21],"tags":[],"class_list":["post-6621","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-development","category-healthcare"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI in Cardiovascular Disease Detection<\/title>\n<meta name=\"description\" content=\"Discover how AI in Cardiovascular Disease Detection is transforming early risk screening , enabling faster, cost-effective diagnosis.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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