Development and internal validation of machine-learning models to predict adverse pathological features in upper tract urothelial carcinoma.
ML models using preoperative variables achieved moderate discrimination for predicting adverse pathological features in UTUC and external validation and prospective assessment of clinical utility are necessary before informing preoperative patient selection.