crossrefJournal of Clinical Medicine2025-06-07Cited by 7
AI-Driven Prediction of Renal Stone Recurrence Following ECIRS: A Machine Learning Approach to Postoperative Risk Stratification Incorporating 24-Hour Urine Data
Takahiro Yanase, Rei Unno, Theodoros Tokas, Vineet Gauhar, Yuya Sasaki, Kengo Kawase, et al.
Background/Objectives: Predicting kidney stone recurrence after active stone treatment remains challenging due to its multifactorial nature. Artificial intelligence, particularly machine learning, provides new methods for identifying hidden patterns in high-dimensional clinical d…