AI Detects Heart Disease From Routine Mammograms
A deep-learning model presented at the ESC congress identifies cardiovascular risks with up to 86% accuracy.
A medical professional examines a digital mammogram scan where an AI system highlights potential indicators of heart disease.
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Researchers at the European Society of Cardiology congress presented a deep-learning model that detects heart disease using mammograms [1][2]. The AI repurposes breast cancer screenings to identify signs of stroke and heart conditions [2]. It achieved a reported accuracy rate of up to 86% [1][3].
This dual-purpose method addresses conditions often underdiagnosed in women [1]. By analyzing calcification in breast arteries, the tool provides a low-cost screening option [2]. Experts believe this integration could improve early intervention for cardiovascular health [1][3].
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Sources
- 1.↗
theguardian.com
https://www.theguardian.com/society/2026/aug/27/mammograms-heart-disease-in-women-study
- 2.↗
escardio.org
https://www.escardio.org/news/press/press-releases/ai-could-help-detect-common-cardiovascular-diseases-from-mammograms/
- 3.↗
resultsense.com
https://www.resultsense.com/news/2026-08-28-mammogram-heart-disease-ai-screening/
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