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ABSTRACT: Introduction
We sought to assess the performance of the proudP artificial intelligence (AI) algorithm, integrated into a mobile application, in estimating uroflow curves and parameters using recorded urination sounds.Methods
A direct comparison was made between the peak flow rate (Qmax), voided volume (VV), and uroflow curves predicted by the proudP algorithm and those obtained through established validation methods. A hardware uroflow simulator replicated uroflow profiles by precisely controlling water flow rates and extracting corresponding sound data. Ten uroflow profiles, representing typical patterns observed in male subjects, were selected. Simulation experiments with proudP were conducted using a standard toilet setup. The uroflow simulator was calibrated to reproduc
SUBMITTER: Elterman D
PROVIDER: S-EPMC11790043 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature