# NYU-DRP AI Model Predicts Breast Cancer Risk

Digest AI · Generative AI & Models · published 2026-09-10T10:45:01Z

Canonical: https://digestai.news/story/nyu-drp-ai-model-predicts-breast-cancer-risk

## Summary

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, breast density, and longitudinal DBT examinations to predict future cancer risk. The study covered 313,531 yearly mammograms from 161,165 women without breast cancer between 2016 and 2020. The NYU-DRP model achieved a five-year AUC of 0.721 in an independent test set of 34,570 examinations, outperforming the single-timepoint DBT model (AUC: 0.707) and the Mirai model (AUC: 0.687). The study highlights that repeated mammograms contain information about a woman's future breast cancer risk not fully captured by either breast density or a single mammogram on its own, potentially aiding in more personalized screening strategies.

## 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

## Why it matters

The NYU-DRP model could help tailor screening to individual risk levels, reducing unnecessary tests for low-risk individuals.

## Sources

1. [NYU-DRP AI Model Predicts Five-Year Breast Cancer Risk From 3D Mammograms](https://unite.ai/nyu-drp-ai-model-predicts-five-year-breast-cancer-risk-from-3d-mammograms) (Unite.AI, 2026-09-10)

## Cite

Digest AI, "NYU-DRP AI Model Predicts Breast Cancer Risk", 10 September 2026, https://digestai.news/story/nyu-drp-ai-model-predicts-breast-cancer-risk

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