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AI Uses Mammograms to Predict Women's Cardiovascular Risk

AuntMinnieIndustry

A deep learning AI model based on mammographic features can predict cardiovascular risk in women with accuracy comparable to traditional risk scores.

Key Details

  • 1Researchers from the George Institute for Global Health developed a deep-learning algorithm using mammogram images and patient age.
  • 2The model was trained on 49,196 women with a median follow-up of 8.8 years, 3,392 of whom experienced a major cardiovascular event.
  • 3The AI algorithm (DeepSurv) achieved a concordance index of 0.72; traditional risk models range from 0.73 to 0.79.
  • 4Combining mammogram radiomics with clinical data increased the concordance index to 0.75.
  • 5The model is designed for integration into routine breast cancer screening to provide additional cardiovascular risk information.

Why It Matters

This work demonstrates the potential for mammography-based AI to serve as a dual-purpose screening tool, improving both cancer and cardiovascular disease prevention in women by leveraging existing imaging data. If implemented, it could enhance patient care without adding screening burden or workload.

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