Predicting hematoma expansion in acute spontaneous intracerebral hemorrhage: integrating clinical factors with a multitask deep learning model for non-contrast head CT

ConclusionThe integration of clinical findings with non-contrast CT imaging features analyzed through deep learning showed the potential for improving the prediction of HE in acute spontaneous intracerebral hemorrhage patients.

http://link.springer.com/10.1007/s00234-024-03298-y

Source: Neuroradiology - February 10, 2024 Category: Radiology Source Type: research