Machine Vision Augmentation to Detect Detrusor Overactivity in Overactive Bladder: A Frontier of Artificial Intelligence Application in Functional Urology—Proof of Concept Clinical Study

We describe a novel model leveraging AI machine vision to demonstrate statistically increased keypoint deviations on the detrusor vascular network of OAB patients as compared to non-OAB patients. This technology may potentially streamline the diagnosis of OAB and identify localized areas of increased DO for targeted treatment.

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Publication Details

Journal
Neurourology and Urodynamics
Published
2025-04-01
DOI
https://doi.org/10.1002/nau.70040
Citations
1
Primary Topic
Urinary Bladder and Prostate Research
Type
article
Field-Weighted Citation Impact
1.84
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article

Machine Vision Augmentation to Detect Detrusor Overactivity in Overactive Bladder: A Frontier of Artificial Intelligence Application in Functional Urology—Proof of Concept Clinical Study

Lay Guat Ng, Mark K. F. Wong, Jin Yong, Ajith M. Joseph et al.
1 citations
Neurourology and Urodynamics
Urinary Bladder and Prostate Research
1.84
article

Machine Vision Augmentation to Detect Detrusor Overactivity in Overactive Bladder: A Frontier of Artificial Intelligence Application in Functional Urology—Proof of Concept Clinical Study

Lay Guat Ng, Mark K. F. Wong, Jin Yong, Ajith M. Joseph, E. C. Loh, Yu Guang Tan, Shauna J. Q. Woo
article en
1 citations

Abstract

We describe a novel model leveraging AI machine vision to demonstrate statistically increased keypoint deviations on the detrusor vascular network of OAB patients as compared to non-OAB patients. This technology may potentially streamline the diagnosis of OAB and identify localized areas of increased DO for targeted treatment.

Neurourology and UrodynamicsVol. 44(5)
Singapore General Hospital (SG)
Openalex Percentile: Top 19%
Urinary Bladder and Prostate Research
1.84
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