Generalizability of an AI-based mammogram risk score (MRS) for breast cancer among diverse populations of women

Authors

• Shu Jiang, Washington University School of Medicine in St. Louis
• Debbie L Bennett, Washington University School of Medicine in St. Louis
• Peter Kraft, National Cancer Institute
• Graham A Colditz, Washington University School of Medicine in St. Louis

Journal

Science Advances

Publication Date

5-22-2026

Volume

12

Issue

21

Document Type

Open Access Publication

DOI

10.1126/sciadv.ady3905

Rights and Permissions

Jiang S, Bennett DL, Kraft P, Colditz GA. Generalizability of an AI-based mammogram risk score (MRS) for breast cancer among diverse populations of women. Sci Adv. 2026 May 22;12(21):eady3905. doi: 10.1126/sciadv.ady3905

Recommended Citation

Jiang, Shu; Bennett, Debbie L; Kraft, Peter; and Colditz, Graham A, "Generalizability of an AI-based mammogram risk score (MRS) for breast cancer among diverse populations of women." Science Advances. 12, 21. (2026).
https://digitalcommons.wustl.edu/oa_4/6760

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.