- 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.
- 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.
- Dural Venous Sinus Stenosis: Why Distinguishing Intrinsic-versus-Extrinsic Stenosis Matters
Most patients in this study with idiopathic intracranial hypertension had extrinsic stenosis, and most patients with pulsatile tinnitus had intrinsic stenosis. Awareness and reporting of these subtypes may reduce the under-recognition of potential contributory stenoses in a given patient's idiopathic intracranial hypertension or pulsatile tinnitus.
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