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

Source
EurekAlert
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