A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study

This research aimed to create a machine learning model for clinical-radiomics that utilizes unenhanced computed tomography images to assess the likelihood of malignant cerebral edema (MCE) in individuals suffering from acute ischemic stroke (AIS).