Health AI Central
Peer-Reviewed Publication
J Am Coll Radiol2026;23(8):1579-1583.August 1, 2026Journal Article

Using Artificial Intelligence to Improve Timeliness of Follow-Up in Breast Cancer Screening.

Diana L Miglioretti1, Matt Ponzini2, Ojas A Ramwala3, Evan de Bie2, Shadi Aminololama-Shakeri4, Elizabeth Morris5, Christoph I Lee6
1Division Chief of Biostatistics and co-leader of the Population Sciences and Cancer Control Program of the Comprehensive Cancer Center, Department of Public Health Sciences, University of California, Davis, California, and is also from the Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington. Electronic address: dmiglioretti@health.ucdavis.edu.
2Department of Public Health Sciences, University of California, Davis, California.
3Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, and from the Department of Radiology, University of Washington School of Medicine, Seattle, Washington.
4Department of Radiology, University of California, Davis, Sacramento, California; Division Chief of Breast Radiology, Program Director of the Breast Imaging Fellowship, and Vice Chair of Academic Affairs; School of Medicine Admissions Committee Chair.
5Chair of the Department of Radiology, University of California, Davis, Sacramento, California.
6Vice Chair of Research for the Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin; Deputy Editor of JACR.
PubMed PMC DOI PDF

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