AI analysis of mammogram images plus age predicts major cardiovascular disease risk as effectively as traditional tools.
Key Details
- 1Researchers analyzed data from 49,196 women (average age 59) in Australia, tracked for ~9 years.
- 2An AI model assessed breast structures from mammograms plus age to estimate 10-year cardiovascular disease risk.
- 3The algorithm performed on par with standard risk predictors like the PREDICT and PREVENT scores.
- 4No additional history or medical record data required—only routine mammogram and age.
- 5They noted limitations including scanner variability and self-reported clinical data.
Why It Matters
This research highlights the cost-effectiveness and clinical value of leveraging routine mammography for dual-purpose screening—detecting both breast cancer and cardiovascular risk. If validated further, it could streamline risk assessment and prevention strategies for women using existing imaging infrastructure.
Source
EurekAlert
Related News
•EurekAlert
NIH Invests Additional $12.6M in USC-Led Imaging AI for Alzheimer's
NIH has renewed and expanded its support for a USC-led consortium developing AI to decode and treat Alzheimer's using imaging and genomic data.
•EurekAlert
AI Predicts Risks for Outpatient Stem Cell Therapy in Myeloma
Researchers use machine learning to predict adverse events during stem cell therapy for multiple myeloma, improving outpatient safety.
•EurekAlert
AI-Enhanced CT Heart Fat Measurement Boosts Cardiovascular Risk Prediction
AI-derived measurement of heart fat from CT scans significantly improves long-term cardiovascular disease risk prediction.