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AI can detect heart disease in women using mammograms, study suggests

AI analysis of routine mammograms can identify heart disease in women, a study presented at the European Society of Cardiology congress suggests.

The implications are significant because hundreds of millions of women undergo mammograms every year. Experts said breast screening for cancer could become dual-purpose, helping flag women with cardiovascular issues as well as breast cancer. Millions of women live with undetected heart disease, which is often misdiagnosed or not picked up until late stages.

Doctors in Israel examined 97,364 scans from 29,921 women with an average age of 54. Cross-referencing medical records, they found 16% had high blood pressure, 2.5% had coronary heart disease, and 2.5% had experienced a stroke. A machine-learning model trained to identify these conditions reliably detected women who had suffered a stroke based on their mammogram alone 86% of the time. For high blood pressure and coronary heart disease, it was 79% and 78% reliable, respectively, and results were consistent regardless of age or cancer status.

Dr. Viana Copeland from Tel Aviv University presented the findings in Munich. “Despite being the leading cause of death in women worldwide, CVD is consistently underdiagnosed and undertreated,” she said. She noted that many women attend routine breast cancer screening even if they have not sought care for cardiovascular symptoms, so analyzing breast scans could offer a scalable approach without an additional imaging examination.

Elena Arbelo, an expert member of the European Society of Cardiology communication committee, called the findings “compelling.” She said a mammogram may one day offer a window on cardiovascular health, but the challenge is to establish accuracy and reliability before clinical implementation. Dr. Sonya Babu-Narayan of the British Heart Foundation also welcomed the breakthrough, noting that heart disease is the world's biggest killer of women as well as men and that AI could allow breast cancer screening programs to become dual-purpose.

The team is working to improve the AI model's accuracy, reduce false results, and increase the number of heart conditions it can detect.