Work

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

Year: 2026

Type: article

Source: Journal of the American College of Radiology

DOI: 10.1016/j.jacr.2026.04.023

Authors: Diana L. Miglioretti, Matt Ponzini, Ojas A. Ramwala, Evan de Bie, Shadi Aminololama-Shakeri, Elizabeth Morris, Christoph I. Lee

Institutions: Kaiser Permanente Washington Health Research Institute, University of California, Davis, University of Wisconsin–Madison, University of Washington, University of California Davis Medical Center

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Safeway Foundation, National Institutes of Health, University of California, Davis, National Cancer Institute, Comprehensive Cancer Center, University of California, Davis

Awards: G586987733, Advancing Risk-based Breast Cancer Screening and Surveillance in Community Practice, Population-Based Evaluation of Artificial Intelligence for Mammography Priorto Widespread Clinical Translation

OpenAlex ID: W7160316538

FWCI:

Cites: 6

Cited by:

Related to: 10