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Updated: Sep 27, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications
Yasasvi Tadavarthi1, Valeria Makeeva1, William Wagstaff1
1Department of Medicine, Medical College of Georgia, Augusta, Ga (Y.T.); Department of Radiology and Imaging Sciences (V.M., W.W., H.Z., M.H., E.K., N.S., J.G., H.T.), School of Medicine (N.B.), and Department of Biomedical Informatics (I.B.), Emory University, 1364 E Clifton Rd NE, Atlanta, GA 30322; and Southend University Hospital NHS Foundation Trust, Westcliff-on-Sea, UK (A.P.).
Artificial intelligence (AI) offers significant value beyond disease detection in radiology. AI applications can enhance image quality, patient safety, and workflow efficiency, impacting practices, insurers, and hospitals.
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2026-06-19T13:39:29.282992+00:00
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