Published June 24, 2026 | Version v1.0.2

BI-RADS Anchored Evaluation of Artificial Intelligence for Breast Cancer Screening in Digital Mammography: A Clinical Utility Framework Beyond AUC

Authors/Creators

  • 1. Shaqra University

Description

This repository provides a reproducible implementation of a BI-RADS-anchored clinical utility framework for evaluating AI models in breast cancer screening. The framework moves beyond AUC to assess discrimination, calibration, workload-anchored performance, decision curve analysis, and subgroup equity.

Notes

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bsalshreef/birads-ai-evaluation-v1.0.2.zip

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