Machine learning-based prediction of cerebral artery territorial infarcts in acute ischemic stroke using non-contrast CT.

XGBoost demonstrates excellent diagnostic performance for infarct territory localization, whereas Logistic Regression offers stable sensitivity. Strict protocols and robust validation support its clinical auxiliary value.

Future studies will incorporate multi-center external validation and multi-territory infarcts to improve generalizability.