A new AI system uses routine mammograms to identify women at high risk for cardiovascular disease by measuring breast arterial calcifications.
Key Details
- 1The AI tool is a transformer-based neural network that quantifies CVD risk based on breast arterial calcifications (BACs) seen in screening mammograms.
- 2Study included retrospective analysis of nearly 124,000 women from two healthcare systems.
- 3BACs were categorized as zero, mild, moderate, or severe, and these categories were correlated with future major adverse cardiovascular events.
- 4Routine mammography provides an accessible, cost-effective opportunity for early CVD risk detection in women.
- 5Research was led by Dr. Hari Trivedi at Emory University, Department of Radiology.
Why It Matters
This approach leverages widely performed breast screening to address underdiagnosis of heart disease in women, allowing early intervention for cardiovascular risk using imaging AI. If validated, it could integrate seamlessly into current screening practices and improve population health.
Source
Radiology Business
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