Explainable machine learning model for predicting functional outcomes in posterior circulation stroke after thrombectomy

The interpretable ML models provide dynamic accurate predictions of functional outcomes in patients with PCS after EVT, offering valuable insights for personalized risk stratification and optimizing perioperative management, with potential for integration into clinical workflows.