AI Mammogram Analysis Predicts Heart Disease Risk in Women

Artificial intelligence may soon identify heart disease risk during routine breast cancer screenings, offering a new lifeline for women who are frequently underdiagnosed for cardiovascular issues. By analyzing mammograms for specific biomarkers, researchers have found a way to leverage existing imaging infrastructure to spot early warning signs of heart failure and stroke.

According to research published in the European Heart Journal and presented at the European Society of Cardiology's annual congress, AI can detect breast arterial calcium (BAC) in routine mammograms. The study, which tracked 123,762 women aged 40 to 79 across two major U.S. health systems, found that higher levels of calcium in the breast arteries correlate directly with an increased risk of heart attack, stroke, or heart failure. Specifically, women with severe BAC faced roughly three times the risk of a major cardiovascular event compared to those with no detectable calcium.

The Gender Gap in Diagnosis

Heart disease has historically been underdiagnosed in women compared to men, often due to differences in how symptoms present or a clinical focus on male-centric risk profiles. While mammograms are designed specifically for breast cancer detection, they capture detailed images of the chest area. These images can reveal biomarkers for cardiovascular health that would otherwise remain invisible without specialized heart scans.

Implications for Preventative Care

This discovery is particularly significant because the findings remained statistically significant even after researchers accounted for standard risk factors, such as smoking, diabetes, and the PREVENT cardiovascular risk score. This suggests that BAC provides independent diagnostic value, identifying high-risk patients who might be missed by traditional screening methods.

If validated and integrated into clinical practice, this approach would allow for opportunistic screening. Patients undergoing a standard mammogram could receive a cardiovascular risk assessment simultaneously, enabling doctors to initiate life-saving interventions—such as statins or blood pressure management—much earlier than they otherwise would.

Next Steps for Integration

While the correlation between BAC and heart disease is strong, the medical community must now determine how to integrate these AI findings into standard care pathways. Future efforts will likely focus on establishing standardized thresholds for what constitutes "severe" calcium levels and determining the best protocol for notifying patients and their primary care physicians when a cardiovascular risk is detected during a cancer screening.