[Evaluation of the possibility of using neural networks for automatic diagnostics of obstructive urination].
Journal:
Urologiia (Moscow, Russia : 1999)
Published Date:
May 1, 2025
Abstract
INTRODUCTION: Obstructive type of urination requires accurate and timely diagnosis to prevent complications and improve the quality of life of patients. Traditional diagnostic methods such as uroflowmetry, although they remain the standard, have their limitations. In this context, videography of urine stream followed by image analysis is a more cost-effective and promising approach that allows for a more detailed picture of urination, accessible not only to urologists, but also to patients.