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

Radiology 2026

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Authors: Matthew P. McCabe, Edgar A. Wakelin, Leeann D. Louis, A.Y. Ng, Diana S. M. Buist, Christoph I. Lee, Albrect Sorensen, Bryan Haslam
DOI: 10.1148/radiol.252005
Cited by: 1
References: 22

Abstract

A multistage artificial intelligence–driven workflow was associated with improved cancer detection rate and positive predictive value of recalls for general radiologists interpreting breast cancer screening mammograms, allowing them to perform on par with breast imaging specialists.

Fields of Study & Subjects

AI in cancer detection Radiology practices and education Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Radiology
Publisher
Radiological Society of North America (RSNA)
Volume
320
Issue
1
Pages
e252005–e252005
Publication date
1 July 2026
Language
EN