An Emerging Trend of At-Home Uroflowmetry—Designing a New Vibration-Based Uroflowmeter with Artificial Intelligence Pattern Recognition of Uroflow Curves and Comparing with Other Technologies

An Emerging Trend of At-Home Uroflowmetry—Designing a New Vibration-Based Uroflowmeter with Artificial Intelligence Pattern Recognition of Uroflow Curves and Comparing with Other Technologies

<b>Background/Objectives</b>: For aging men experiencing lower urinary tract symptoms (LUTS), bladder diaries (BD) and uroflowmetry (UFM) are commonly used non-invasive diagnostic tools. However, bladder diaries often suffer from subjectivity and incomplete data, while traditional hospit...

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Bibliographic Details
Main Authors: Vincent F. S. Tsai, Yao-Chou Tsai, Stephen S. D. Yang, Ming-Wei Li, Yuan-Hung Pong, Yu-Ting Tsai
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Diagnostics
Subjects:
urination disorders
urodynamics
vibration
artificial intelligence
Online Access:https://www.mdpi.com/2075-4418/15/14/1832
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