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Experts say findings mean breast screenings for cancer could also flag cardiovascular problems in women
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Society — Andrew Gregory Health editor in Munich
Doctors have discovered a way to use routine mammograms that screen for breast cancer to spot heart disease, the world’s leading – and frequently underdiagnosed – cause of death in women.
Researchers analysed the scans using artificial intelligence and were able to successfully identify women with coronary heart disease, high blood pressure or who had suffered a stroke.
Experts said it meant breast screening for cancer could become dual-purpose, helping to flag women with heart disease, and other cardiovascular issues, as well as spotting breast cancer early.
Millions of women are living with undetected heart disease . For decades, it has often been misdiagnosed or not picked up until the late stages of the disease.
Details of the breakthrough were presented in Munich at the European Society of Cardiology’s annual congress, the world’s largest heart conference. The implications are significant because hundreds of millions of women undergo mammograms every year.
Doctors in Israel examined 97,364 scans from 29,921 women who had an average age of 54. By cross-referencing medical records, they found 16% of the women had high blood pressure, 2.5% had coronary heart disease, and 2.5% had experienced a stroke.
A machine-learning model was trained to identify women with these conditions and was able to reliably identify women who had suffered a stroke, based upon their mammogram alone, 86% of the time.
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For high blood pressure and coronary heart disease, it was 79% and 78% reliable at distinguishing between the women with the condition and those without. The results were also consistent regardless of age, or whether or not a woman also had cancer.
Dr Viana Copeland from Tel Aviv University, Israel, presented the findings to delegates in Munich. “Despite being the leading cause of death in women worldwide, CVD [cardiovascular disease] is consistently underdiagnosed and undertreated,” she said.
“A common finding in our medical centre, and around the world, is that when women do seek medical help, their CVD is already advanced. On the other hand, many women do attend routine breast cancer screening, even when they haven’t sought care for cardiovascular symptoms.”
Because mammography is already widely used, analysing breast scans for information about a woman’s heart health “could potentially offer a scalable approach without requiring an additional imaging examination,” Copeland added.
“Mammography also reaches many women in midlife, an important period for recognising and addressing cardiovascular risk.”
A team of doctors and medical researchers are working to improve the accuracy of the AI model and reduce false results, while increasing the number of heart conditions it can detect.
Elena Arbelo, an expert member of the European Society of Cardiology communication committee, said the findings were “compelling”.
“A mammogram may one day do more than look for breast cancer – it may also offer a window on to cardiovascular health. That matters because CVD in women is still too often recognised late.”
She added: “The challenge now is to establish accuracy and reliability – to move from experimentation to clinical implementation.”
Dr Sonya Babu-Narayan, a consultant cardiologist and clinical director of the British Heart Foundation, a charity, also welcomed the breakthrough.
She said: “Heart disease is the world’s biggest killer of not only men, but also women. Despite this, the myth persists that it’s only a ‘man’s disease’, meaning that when it comes to the heart, women are disproportionally unaware, unheard, underdiagnosed, undertreated and typically underrepresented in clinical research.
“It is exciting to think that if the approach used in this large study from Israel is further proven, it could lead to better and earlier cardiovascular disease detection and prevention for women. AI could one day allow breast cancer screening programmes to become dual-purpose, helping to flag women with the highest risk of dangerous cardiovascular disease, as well as spotting breast cancer early.”
Researchers analysed the scans using artificial intelligence and were able to successfully identify women with coronary heart disease, high blood pressure or who had suffered a stroke.
This report is published with credit to The Guardian. Full available text from the wire is above. Read on The Guardian →
Source: The Guardian · Andrew Gregory Health editor in Munich. Published 27 Aug 2026, 02:00 pm.
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