Health AI Central
Peer-Reviewed Publication
Radiology2026;320(1):e252005.July 1, 2026Journal Article

Closing the Performance Gap between Generalists and Breast Imaging Specialists Using a Nationally Deployed AI Workflow for Screening Mammography.

Matthew P McCabe1, Edgar A Wakelin1, Leeann D Louis1, Annie Y Ng1, Diana S M Buist2, Christoph I Lee3, A Gregory Sorensen1, Bryan Haslam1
1DeepHealth, 212 Elm St, Somerville, MA 02144.
2Data-driven Strategies for Medicine & Biotechnology, Mercer Island, Wash.
3Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wis.
PubMed DOI

Abstract

Background Radiologist expertise plays a critical role in breast cancer screening outcomes; yet approximately 70% of screening mammography interpretations in the United States are performed by general radiologists (generalists) rather than breast imaging specialists (specialists). Purpose To evaluate the impact of a multistage artificial intelligence (AI)-driven workflow on the clinical performanc…

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