Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility.

ABSTRACT:

Background

Circumcision is a widely practiced procedure with cultural and medical significance. However, certain penile abnormalities-such as hypospadias or webbed penis-may contraindicate the procedure and require specialized care. In low-resource settings, limited access to pediatric urologists often leads to missed or delayed diagnoses. Artificial intelligence (AI)-based image recognition presents a scalable solution to facilitate early detection and informed decision-making.

Objective

This study aims to develop and validate an AI-powered image classification system integrated into a mobile app to detect penile abnormalities and assess circumcision eligibility. The system is designed to support preliminary screening by general practitioners and caregivers in underserved a

SUBMITTER: Wahyudi I 

PROVIDER: S-EPMC12461175 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature