{"id":29496,"date":"2025-09-17T14:57:56","date_gmt":"2025-09-17T14:57:56","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=29496"},"modified":"2025-09-17T14:57:58","modified_gmt":"2025-09-17T14:57:58","slug":"new-ai-model-can-predict-heart-disease-risk-in-women-from-mammograms","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-ai-model-can-predict-heart-disease-risk-in-women-from-mammograms\/","title":{"rendered":"New AI Model Can Predict Heart Disease Risk in Women From Mammograms"},"content":{"rendered":"\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">A revolutionary AI model can predict heart disease risk in women using mammograms, promising earlier and more accessible screening methods for cardiovascular disease.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>A groundbreaking machine learning model developed by The George Institute for Global Health now predicts heart disease risk in women by analyzing mammograms. Published in the journal <a href=\"https:\/\/heart.bmj.com\/content\/early\/2025\/09\/10\/heartjnl-2025-325705\" target=\"_blank\" rel=\"noopener\" title=\"\">Heart<\/a>, this innovative algorithm is a collaboration between The George Institute, the University of New South Wales and the University of Sydney.<\/p>\n\n\n\n<p>Cardiovascular disease (CVD) is the leading cause of death among women worldwide, causing approximately 9 million deaths annually. Historically, diagnosis and treatment of CVD in women have lagged behind men, partly due to the misconception that heart disease predominantly affects men. This disparity has resulted in fewer diagnostic tests, specialist referrals and prescriptions for women.<\/p>\n\n\n\n<p>\u201cIt\u2019s a common misconception that CVD predominantly affects men, resulting in underdiagnosis and undertreatment of the condition in women,\u201d  Clare Arnott, an associate professor and global director of the cardiovascular program at The George Institute, said in a news release. \u201cBy integrating CV risk screening with breast screening through the use of mammograms \u2014 something many women already engage with at a stage in life when their cardiovascular risk increases \u2014 we can identify and potentially prevent two major causes of illness and death at the same time.\u201d<\/p>\n\n\n\n<p>The deep learning algorithm was trained and validated using routine mammograms from over 49,000 women in both urban and rural areas of Victoria, Australia, which linked to hospital and death records, to assess cardiovascular outcomes. <\/p>\n\n\n\n<p>The researchers then compared the AI model\u2019s performance against traditional risk calculators that require various data points like blood pressure and cholesterol levels.<\/p>\n\n\n\n<p>\u201cWe found that our model performed just as well without the need for extensive clinical and medical data,\u201d Arnott added.<\/p>\n\n\n\n<p>This model&#8217;s accuracy and efficiency lie in its reliance on various mammographic features combined simply with the patient&#8217;s age. Unlike previous methods that focus solely on breast arterial calcification (BAC), which is less accurate in older women, this model uses a range of mammographic features, making it a resource-efficient but highly accurate tool.<\/p>\n\n\n\n<p>\u201cWe hope this technology will one day provide greater and more equitable access to screening in rural areas, as many women already benefit from mobile mammography units free of charge,\u201d added Jennifer Barraclough, a research fellow at The George Institute.<\/p>\n\n\n\n<p>Mammography-based screening programs already engage a significant portion of the female population in countries like the United States and the UK, with over 67% participation. Integrating cardiovascular risk prediction into this existing framework could revolutionize preventive health care for women globally.<\/p>\n\n\n\n<p>The researchers behind this groundbreaking algorithm look forward to testing the model in diverse populations to further validate its effectiveness and explore potential barriers to its implementation, according to Barraclough.<\/p>\n\n\n\n<div style=\"height:13px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source: <\/strong><a href=\"https:\/\/www.georgeinstitute.org\/news-and-media\/news\/new-ai-algorithm-uses-mammograms-to-accurately-predict-cardiovascular-risk-in-women\" target=\"_blank\" rel=\"noopener\" title=\"\">The George Institute for Global Health<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A groundbreaking machine learning model developed by The George Institute for Global Health now predicts heart disease risk in women by analyzing mammograms. Published in the journal Heart, this innovative algorithm is a collaboration between The George Institute, the University of New South Wales and the University of Sydney. Cardiovascular disease (CVD) is the leading [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8,12],"tags":[405,243,284],"class_list":["post-29496","post","type-post","status-publish","format-standard","hentry","category-ai","category-health","tag-the-george-institute-for-global-health","tag-university-of-new-south-wales","tag-university-of-sydney"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"A groundbreaking machine learning model developed by The George Institute for Global Health now predicts heart disease risk in women by analyzing mammograms. Published in the journal Heart, this innovative algorithm is a collaboration between The George Institute, the University of New South Wales and the University of Sydney. Cardiovascular disease (CVD) is the leading&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/29496","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=29496"}],"version-history":[{"count":3,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/29496\/revisions"}],"predecessor-version":[{"id":29504,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/29496\/revisions\/29504"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=29496"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=29496"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=29496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}