Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry

Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry

Purpose: To diagnose lower urinary tract symptoms (LUTS) in a noninvasive manner, we created a prediction model for bladder outlet obstruction (BOO) and detrusor underactivity (DUA) using simple uroflowmetry. In this study, we used deep learning to analyze simple uroflowmetry. Materials and Methods...

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Bibliographic Details
Main Authors: Seokhwan Bang, Sokhib Tukhtaev, Kwang Jin Ko, Deok Hyun Han, Minki Baek, Hwang Gyun Jeon, Baek Hwan Cho, Kyu-Sung Lee
Format: Article
Language:English
Published: Korean Urological Association 2022-05-01
Series:Investigative and Clinical Urology
Subjects:
artificial intelligence
bladder outlet obstruction
detrusor underactivity
lower urinary tract symptoms
Online Access:https://www.icurology.org/pdf/10.4111/icu.20210434

Internet

https://www.icurology.org/pdf/10.4111/icu.20210434

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