Accelerating Prediction of Malignant Cerebral Edema After Ischemic Stroke with Automated Image Analysis and Explainable Neural Networks

ConclusionsAn LSTM neural network incorporating volumetric data extracted from routine CT scans identified all cases of malignant cerebral edema by 24  h after stroke, with significantly fewer false positives than a fully connected neural network, regression model, and the validated EDEMA score. This preliminary work requires prospective validation but provides proof of principle that a deep learning framework could assist in selecting patients f or surgery prior to deterioration.
Source: Neurocritical Care - Category: Neurology Source Type: research