Machine Vision Augmentation to Detect Detrusor Overactivity in Overactive Bladder: A Frontier of Artificial Intelligence Application in Functional Urology-Proof of Concept Clinical Study.
Journal:
Neurourology and urodynamics
Published Date:
Apr 1, 2025
Abstract
INTRODUCTION: Overactive bladder (OAB) is a common urological condition with increasing prevalence, especially in an aging population. Diagnosing and treating OAB can be challenging. While urodynamic study (UDS) is useful to confirm involuntary detrusor overactivity (DO), it is invasive, time-consuming, and requires good patient coordination, which limits its clinical utility. In this proof-of-concept clinical trial, we propose a novel method in which cystoscopic images can be augmented by machine vision to identify DO and detect OAB based on differences in vascular network motion over time.
