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AI detects early heart disease risk in women during routine mammograms by spotting breast artery calcification, linking it to higher heart attack, stroke, and death risks.
Artificial intelligence can detect early heart disease risk in women during routine mammograms by identifying breast arterial calcification, a sign of hardened arteries, according to a large study of 123,762 women.
The research found that calcification levels correlated with increased risk of heart attack, stroke, or death—30% higher for mild, over 70% for moderate, and two to three times greater for severe cases—even after adjusting for smoking and diabetes.
Experts say integrating AI into existing mammography programs could enable early, low-cost cardiovascular risk assessment for millions of women annually, helping address the underdiagnosis of heart disease in women, who face higher death rates than men but are often overlooked in screening and treatment.
La IA detecta el riesgo temprano de enfermedad cardíaca en las mujeres durante las mamografías de rutina al detectar la calcificación de la arteria mamaria, vinculándola con mayores riesgos de ataque cardíaco, accidente cerebrovascular y muerte.