- 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.
- 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.
Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.
AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.