Predicting functional outcome in patients with acute brainstem infarction using deep neuroimaging features

Abstract

Deep learning models can successfully extract objective neuroimaging features from the routine radiological data in an automatic manner and aid in predicting the functional outcomes in patients with brainstem infarction at 3 months with very high accuracy.