
AI-enhanced mammograms could screen for women's heart disease
Researchers trained a machine-learning model on routine mammograms to identify signs of cardiovascular disease in women, achieving about 86% accuracy for stroke and roughly 79% for high blood pressure and 78% for coronary heart disease. If validated clinically, mammography could become a dual-purpose screening tool, flagging heart risk alongside breast cancer detection, helping to catch underdiagnosed conditions earlier in midlife women.











