
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

New Daydreaming Algorithm Boosts Neural Networks' Recall of Biased Image Data
Researchers unveil a new 'Centered Daydreaming' algorithm enabling AI to effectively learn and recall from imbalanced, real-world image data.

Polymer-Based Flexible Wireless Sensors: AI-Driven Health Monitoring Review
A major review highlights how advanced polymer-based flexible wireless sensors, enhanced by AI-driven data processing, can transform continuous physiological health monitoring.

PET Imaging Uncovers Synaptic Loss Patterns in Schizophrenia
A major PET imaging study reveals widespread, non-random synaptic loss in schizophrenia, distinct from brain volume changes seen on MRI.