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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Jessica C Dai1, Brett A Johnson
1Department of Urology, UT Southwestern Medical Center, Dallas, Texas, USA.
Artificial intelligence enhances endourology by improving stone diagnosis, management, and recurrence prediction. Machine learning models show high accuracy but require further validation for widespread clinical adoption.
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2026-06-19T13:39:22.071979+00:00