“Deep Learning Model Predicts Hemorrhagic Transformation in Acute Ischemic Stroke Patients using Noncontrasted CT Images and Clinical Factors”

https://pubmed.ncbi.nlm.nih.gov/38115029

A weakly supervised deep learning model using noncontrasted CT images and clinical factors shows promising results in predicting haemorrhagic transformation in acute ischaemic stroke patients after intravenous thrombolysis.