AIMC Topic: Urinary Bladder, Overactive
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Assessment of artificial intelligence performance in answering questions on onabotulinum toxin and sacral neuromodulation.
Investigative and clinical urology
May 1, 2025
PURPOSE: This study aimed to evaluate the performance of three artificial intelligence (AI) models-ChatGPT, Gemini, and Copilot-in addressing clinically relevant questions about onabotulinum toxin and sacral neuromodulation (SNM) for the management o...
Development and Validation of a Machine Learning Algorithm for Predicting Response to Anticholinergic Medications for Overactive Bladder Syndrome.
Obstetrics and gynecology
Nov 1, 2019
OBJECTIVE: To develop and externally validate a prediction model for anticholinergic response in patients with overactive bladder (OAB).
Editorial Comment to Overactive bladder is a negative predictor of achieving continence after robot-assisted radical prostatectomy.
International journal of urology : official journal of the Japanese Urological Association
Oct 1, 2017
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