Prediction of severe erectile dysfunction after penile fracture repair: machine learning analysis results from the reconstruction and trauma working group of the society of urological surgery (RAT-SUS).

ABSTRACT:

Background

Erectile dysfunction (ED) is a significant complication following penile fracture repair, and early prediction is critical for clinical management.

Aim

To evaluate the effectiveness of machine learning (ML) algorithms in predicting the development of severe ED after penile fracture repair and to identify complex risk factors beyond the scope of traditional statistical methods.

Methods

A retrospective analysis was conducted using data from 547 patients who underwent surgical repair for penile fracture between January 2020 and June 2024 at 23 urology centers affiliated with the Reconstructive Urology and Trauma Study Group of the Urological Surgery Society. Patients were categorized into two groups based on their International Index of Erectile Function-5 sco

SUBMITTER: Geyik S 

PROVIDER: S-EPMC12710470 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature