{"id":1497,"date":"2026-02-02T10:31:01","date_gmt":"2026-02-02T09:31:01","guid":{"rendered":"https:\/\/www.healthtriage.ai\/?p=1497"},"modified":"2026-02-02T10:31:04","modified_gmt":"2026-02-02T09:31:04","slug":"tomosynthesis-and-artificial-intelligence-the-assure-study-shows-a-21-6-increase-in-breast-cancer-detection","status":"publish","type":"post","link":"https:\/\/healthtriage.ai\/en\/tomosynthesis-and-artificial-intelligence-the-assure-study-shows-a-21-6-increase-in-breast-cancer-detection\/","title":{"rendered":"Tomosynthesis and Artificial Intelligence: the ASSURE study shows a +21.6% increase in breast cancer detection"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>An analysis of over half a million women in the United States confirms that artificial intelligence, applied to tomosynthesis (3D mammography), improves cancer detection without increasing false positives. The results reinforce a key premise: to make screening more effective, it is not enough to \u201csee more,\u201d but to see better. This is the logic behind Health Triage&#8217;s operational approach, which focuses on the reliable identification of negative cases.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In November 2025, <em>Nature Health<\/em> published the results of the <strong>ASSURE<\/strong> study, one of the largest ever conducted in the United States on the use of artificial intelligence in breast cancer screening using <strong>digital tomosynthesis (3D mammography)<\/strong>. The study involved over <strong>579,000 women<\/strong> and showed a <strong>21.6% increase<\/strong> in cancer detection rates compared to traditional methods (without AI), with <strong>no increase<\/strong> in recalls or false positives.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI, integrated into the clinical workflow as a support to the individual reader, improved sensitivity and accuracy, particularly in patients with <strong>dense breasts<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These data confirm the clinical potential of AI solutions in diagnostic imaging. However, while the <strong>ASSURE<\/strong> study demonstrates that AI can enhance diagnostic quality in complex cases\u2014using tomosynthesis as a screening modality and AI as decision support for the human reader\u2014<strong>Health Triage<\/strong> takes a complementary approach: <strong>safely identifying negative cases<\/strong>, reducing the number of exams requiring double reading and freeing up time, attention, and clinical resources for those few cases where cancer is present.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">What this means for cancer prevention<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The results of the <strong>ASSURE<\/strong> study open up new perspectives for preventive medicine:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>They demonstrate<\/strong> the effectiveness of AI integrated into tomosynthesis, even on a large scale and in routine clinical practice, as well as in academic studies;<\/li>\n\n\n\n<li><strong>They enable<\/strong> the adoption of more effective screening models, especially in patients with dense breasts.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">At the same time, the Health Triage model focuses on another strategic lever: <strong>reducing the workload for radiologists through the automatic identification of negative cases<\/strong>, which represent more than <strong>99%<\/strong> of the screened population.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These different approaches are not in conflict, but complementary: on the one hand, AI is used to improve the identification of the most difficult tumors to detect, and on the other, AI is used to safely lighten the load on the system, allowing clinical staff to focus on high-priority cases.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Health Triage&#8217;s point of view<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Automatically classify<\/strong> negative mammograms and those to be double-read;<\/li>\n\n\n\n<li><strong>Safely and verifiably reduce<\/strong> the workload in negative cases;<\/li>\n\n\n\n<li><strong>Maintain<\/strong> negative predictive values close to <strong>100%<\/strong>, minimizing false negatives.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">It is a radical innovation in its simplicity: not a system that imposes new protocols, but intelligent technology that integrates into existing workflows and makes them more efficient, sustainable, and accurate.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>An analysis of over half a million women in the United States confirms that artificial intelligence, applied to tomosynthesis (3D mammography), improves cancer detection without increasing false positives. The results reinforce a key premise: to make screening more effective, it is not enough to \u201csee more,\u201d but to see better. This is the logic behind&hellip;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-1497","post","type-post","status-publish","format-standard","hentry","category-news-en","category-16","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Tomosynthesis and Artificial Intelligence: the ASSURE study shows a +21.6% increase in breast cancer detection | Health Triage S.p.A.<\/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:\/\/healthtriage.ai\/en\/tomosynthesis-and-artificial-intelligence-the-assure-study-shows-a-21-6-increase-in-breast-cancer-detection\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tomosynthesis and Artificial Intelligence: the ASSURE study shows a +21.6% increase in breast cancer detection | Health Triage S.p.A.\" \/>\n<meta property=\"og:description\" content=\"An analysis of over half a million women in the United States confirms that artificial intelligence, applied to tomosynthesis (3D mammography), improves cancer detection without increasing false positives. The results reinforce a key premise: to make screening more effective, it is not enough to \u201csee more,\u201d but to see better. 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