NYU-DRP AI Model Predicts Breast Cancer Risk
NYU Langone Health has developed the NYU-DRP model, a deep learning tool that estimates five-year breast cancer risk from longitudinal digital breast tomosynthesis (DBT) mammograms. This study, published in the American Journal of Roentgenology, found that the NYU-DRP model outperformed single-timepoint DBT models and clinical risk models like the Tyrer-Cuzick model. The tool uses a woman's age,…
Key points
- NYU-DRP AI model predicts five-year breast cancer risk from longitudinal DBT mammograms
- Achieved AUC of 0.721 in independent test set, outperforming other models
- Uses patient age and breast density alongside longitudinal DBT examinations
NYU-DRP AI Model Predicts Five-Year Breast Cancer Risk From 3D Mammograms
Unite.AI · 10 September 2026
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This text was published by Unite.AI and written by Aria Bloom, Biotech & Genomics Specialist, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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