Predicting Postoperative Outcomes in Pediatric Ureteroscopy Using Machine Learning and Explainable AI—EAU Endourology Vision-AI Study

Key Points

• The aim is to predict adverse postoperative outcomes in pediatric ureteroscopy using machine learning and explainable AI.
• Applied machine learning models to postoperative outcome data
• Utilized ensemble methods for improved performance
• Implemented explainable AI to enhance interpretability
• ML models achieved high accuracy in predictions
• Ensemble methods outperformed other techniques
• Integration with XAI supported better clinical decision-making

Abstract