Artificial Intelligence–Based Prediction of Recurrence and Personalized Treatment Planning in Pediatric Pilonidal Sinus Disease

Tülin Öztaş, Suat Çal, Sevinç Akdeniz, Serdest Teğin, Department of Pediatric Surgery, University of Health Sciences Diyarbakır Gazi Yaşargil Training and Research Hospital

Surgical Innovation

Published online on December 23, 2025

Abstract

Surgical Innovation, Ahead of Print.
PurposeThis study aimed to assess the feasibility of artificial intelligence (AI)–based models for predicting recurrence risk and supporting individualized treatment strategies in pediatric pilonidal sinus disease (PSD).MethodsClinical data from 242 ...