Mehmet Tevfik AĞDAŞ

Cross-sport transportability of workload-based machine learning for injury risk: a two-cohort study

Machine-learning models for sports injury risk are commonly evaluated within a single cohort, leaving uncertainty about transportability across sports and monitoring systems. We evaluated whether an athlete-relative workload model developed in competitive runners retained perform...

AI-Assisted Multiclass Kidney CT Pathology Classification for Urological Imaging: An Optimized Hybrid Deep Learning Framework

Kidney CT imaging plays a central role in the urological diagnosis of renal cysts, calculi, solid tumors, and normal renal parenchyma. Although deep learning has shown promise for automated CT-based kidney pathology classification, existing approaches frequently rely on single-ar...