A deep learning model can predict cardiovascular risk in women using routine mammograms, performing comparably to traditional risk calculators.
Key Details
- 1Developed by The George Institute for Global Health in collaboration with UNSW and University of Sydney.
- 2Uses only mammographic features and age—no need for additional clinical data.
- 3Validated using data from over 49,000 routine mammograms linked to hospital and death records.
- 4Performs comparably to traditional cardiovascular risk models requiring more extensive data.
- 5Potential for integration into existing high-participation breast screening programs globally.
Why It Matters
This approach could allow opportunistic cardiovascular risk screening for women already undergoing mammograms, potentially improving early identification and prevention of heart disease. It demonstrates innovative use of imaging AI beyond traditional cancer detection, with public health implications for women's care.
Source
EurekAlert
Related News
•EurekAlert
AI Uses Routine Mammograms to Predict Women's Heart Disease Risk
AI can use mammograms to predict the risk of serious cardiovascular disease in women by quantifying breast arterial calcification.
•EurekAlert
Deep Learning Enables Virtual Multiplexed Immunostaining in Pathology
Researchers developed a deep learning framework for generating virtual immunostaining on label-free tissue to assess vascular invasion in thyroid cancer.
•EurekAlert
AI and Ground-Penetrating Radar Innovate Detection of Hidden Steel Damage
University of Houston researchers developed an AI and radar-based method to detect hidden damage in cold-formed steel used in building structures.