Prediction of Neurological Functional Recovery after Carotid Endarterectomy Using Machine Learning and Carotid Computed Tomography Angiography Radiomics

The SVM, LR, and LightGBM models, particularly those combining radiomic and clinical features, demonstrated good performance in predicting neurological recovery in patients with SCAS following CEA. These models may offer a useful framework for postoperative risk stratification and support future efforts toward individualized perioperative management and rehabilitation planning.