Prospective deployment of AI-based risk stratification to enable expedited mammography workflow in a safety-net setting.

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Bibliographic Details
Title: Prospective deployment of AI-based risk stratification to enable expedited mammography workflow in a safety-net setting.
Authors: Chung M; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA. Maggie.chung@ucsf.edu., Davis E; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Greenwood H; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Hayward J; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Chou SS; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Joe B; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Strachowski L; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Kelil T; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Freimanis R; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Price E; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Ray K; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Lee A; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA., Yala A; Computational Precision Health, University of California, Berkeley and University of California, San Francisco, Berkeley, CA, USA.
Source: NPJ digital medicine [NPJ Digit Med] 2026 May 18. Date of Electronic Publication: 2026 May 18.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-026-02743-x