More articles from Adult Brain
- Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100
Machine learning-based feature selection can identify parameters with higher performance in outcome prediction.
- Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center
The authors' evaluation of Viz LVO shows that the system has the potential for early identification of patients with stroke with large-vessel occlusions, hopefully improving future management and stroke care.
- Improved Glioma Grading Using Deep Convolutional Neural Networks
Convolutional neural networks are able to learn discriminating features automatically, and these features provide added value for grading gliomas.
- Acute Ischemic Stroke or Epileptic Seizure? Yield of CT Perfusion in a “Code Stroke” Situation
CTP patterns helped to differentiate acute ischemic stroke from epileptic seizure in a “code stroke“ situation. The results indicate that a hyperperfusion pattern, especially if not restricted to a vascular territory, may suggest reconsideration of intravenous thrombolytic therapy.