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
AI Model Accurately Predicts Blood Loss Risk in Liposuction
A machine learning model predicts blood loss during high-volume liposuction with 94% accuracy.

•EurekAlert
AI-Driven CT Tool Predicts Cancer Spread in Oropharyngeal Tumors
Researchers have created an AI tool that uses CT imaging to predict the spread risk of oropharyngeal cancer, offering improved treatment stratification.

•EurekAlert
AI Model PRTS Predicts Spatial Transcriptomics From H&E Histology Images
Researchers developed PRTS, a deep learning model that infers single-cell spatial transcriptomics from standard H&E-stained tissue images.