Yan-Xiang Niu

Early prediction of in-hospital acute brain injury following cardiac arrest using machine learning: development and external validation

Background Neurological injury is common after cardiac arrest (CA), but early and accurate assessment remains challenging. Existing evaluation methods often lack sensitivity and specificity. This study aims to develop and validate an interpretable machine learning model for early and reliable assessment of brain injury...