
AI can use mammograms to predict the risk of serious cardiovascular disease in women by quantifying breast arterial calcification.
Key Details
- 1A study of 123,762 women showed mammogram-based AI quantifies calcification in breast arteries.
- 2Severity of calcification correlated with increasing risk: mild (30% higher), moderate (70% higher), severe (2-3x higher risk).
- 3The study covers women with no known cardiovascular disease, across multiple races and two major US health systems.
- 4Mammography programs reach tens of millions of women, more than traditional heart-disease screening.
- 5Researchers suggest integrating the AI tool into existing imaging workflows for simultaneous cancer and CVD risk screening.
- 6A clinical trial is planned for real-world AI workflow integration.
Why It Matters

Source
EurekAlert
Related News

AI Pathology Tool SÉMIL Improves Stage II Bowel Cancer Risk Assessment
A La Trobe University-developed AI tool accurately predicts relapse risk in stage II bowel cancer using digital pathology images and descriptions.

AI-Guided Handheld Cardiac Ultrasound Reduces Referrals and Costs in Spain
AI-guided handheld cardiac ultrasound enables primary care physicians to detect heart failure, reducing specialist referrals and saving costs.

AI Tool Predicts Which Rectal Cancer Patients Benefit from Intensive Therapy
UCL researchers developed an AI that analyzes biopsy slides to identify rectal cancer patients who benefit from adding irinotecan to standard chemoradiotherapy.