Work

Establishing the Evidence Needed for AI-driven Mammography Screening

Year: 2025

Type: article

Source: Radiology Artificial Intelligence

DOI: 10.1148/ryai.250152

Authors: Hannah S. Milch, Christoph I. Lee

Institutions: University of California, Los Angeles, University of Washington, Fred Hutch Cancer 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

Funder: National Cancer Institute

Awards: Advancing Risk-based Breast Cancer Screening and Surveillance in Community Practice, Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical Translation, Improving Outcomes in the Breast Cancer Screening and Diagnostic Continuum, Population-Based Evaluation of Artificial Intelligence for Mammography Priorto Widespread Clinical Translation

OpenAlex ID: W4409108568

FWCI:

Cites: 8

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Related to: 10