A study in the European Heart Journal adapted AI to quantify breast arterial calcification (BAC) on routine mammograms and demonstrated that BAC measurements predict cardiovascular disease risk, particularly in women. Researchers trained models to detect and quantify calcifications that correlate with coronary artery disease markers and future cardiac events. The approach repurposes existing screening infrastructure to provide dual-value diagnostics—breast cancer screening plus cardiovascular risk stratification. Integration into radiology workflows could enable earlier cardiology referrals and targeted prevention, though prospective validation and regulatory clearance are required before clinical deployment.