Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program

2025/10/01 by Joshua Rothwell, Priya Rogers, Nicholas Roy Payne +7 · 1 voice
Computer Science · Medicine · #AI in cancer detection #Global Cancer Incidence and Screening #Digital Radiography and Breast Imaging

paper · doi:10.1148/radiol.250391

openalex publication_date 2025/10/01 · openalex created_date 2025/10/28 · openalex updated_date 2026/07/22

Abstract

The results of this study support the use of generalized risk scores from mammography-based deep learning models to identify women who may benefit from supplemental imaging or shorter screening intervals for earlier detection of interval breast cancers.

Citations

• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

Discussions

• Artificial intelligence (AI) can be used to identify women who have a particularly high risk of developing interval cancer between two screening mammograms. doi.org/10.1148/radi... [bsky, 1 points, 0 comments]

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