Artificial Intelligence for Predicting Treatment Failure in Neurourology: From Automated Urodynamics to Precision Management

Artificial intelligence (AI) has emerged as a transformative tool for advancing diagnosis, monitoring, and treatment planning in neurourology. This review synthesizes recent progress in AI-based models for predicting treatment failure in neurogenic lower urinary tract dysfunction. Machine learning a...

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Bibliographic Details

Published in:	International neurourology journal pp. 55 - 64
Main Authors:	Seunghyun Youn, Beom Jin Park
Format:	Journal Article
Language:	English
Published:	대한배뇨장애요실금학회 01.11.2025
Subjects:	비뇨기과학
ISSN:	2093-4777, 2093-6931
Online Access:	Get full text
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