Yun-Feng Chen

Predicting hemorrhagic transformation in acute ischemic stroke using a machine learning model based on clinical and HR-MRI features

The developed RF model, integrating multidimensional HR-MRI parameters and clinical variables, provides an accurate, robust, and interpretable tool for predicting HT, thereby facilitating personalized risk stratification and precision stroke management.