Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models

ML and DL models significantly surpass traditional scoring systems in predicting HT. These advanced models enhance clinical decision-making and improve patient outcomes. Future research should address data expansion, imaging protocol standardization, and model transparency to enhance stroke outcomes further.