Investigating the relationship between breast cancer risk factors and an AI-generated mammographic texture feature in the Nurses' Health Study II.

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Bibliographic Details
Title: Investigating the relationship between breast cancer risk factors and an AI-generated mammographic texture feature in the Nurses' Health Study II.
Authors: Wu X; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA., Jiang S; Washington University School of Medicine in St. Louis, St. Louis, MO, USA., Ge A; University of Maryland School of Medicine, Baltimore, MD, USA., Turman C; Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Colditz G; Washington University School of Medicine in St. Louis, St. Louis, MO, USA., Tamimi RM; Population Health Sciences Department, Weill Cornell Medical School, New York, NY, USA.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Kraft P; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA. phillip.kraft@nih.gov.
Source: NPJ breast cancer [NPJ Breast Cancer] 2025 Dec 23; Vol. 12 (1), pp. 5. Date of Electronic Publication: 2025 Dec 23.
Publication Type: Journal Article
Journal Info: Publisher: Breast Cancer Research Foundation Country of Publication: United States NLM ID: 101674891 Publication Model: Electronic Cited Medium: Print ISSN: 2374-4677 (Print) Linking ISSN: 23744677 NLM ISO Abbreviation: NPJ Breast Cancer Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2374-4677
DOI:10.1038/s41523-025-00870-4