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First received: February 03, 2025

Clinical Trial: Artificial Intelligence-Based Analysis of Uroflowmetry Patterns in Children: a Machine Learning Perspective

Study Status: COMPLETED

Recruit Status: COMPLETED

Condition: Voiding Dysfunction

Study Type: OBSERVATIONAL


Official Title: Interpretation of Uroflowmetry Samples from Pediatric Patients by Clinicians and Introduction to Artificial Intelligence, and Interpretation of the Samples by Artificial Intelligence

Brief Summary: Uroflowmetry is the one of the most commonly used non-invasive test for evaluating children with lower urinary tract symptoms (LUTS).However, studies have highlighted a weak agreement among experts in interpreting uroflowmetry patterns.This study aims to assess the impact of machine learning models, which have become increasingly prevalent in medicine, on the interpretation of uroflowmetry patterns.

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