Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence.

Researchers

Journal

Modalities

Models

Abstract

Advanced magnetic resonance imaging has been used as selection criteria for both acute ischemic stroke treatment and secondary prevention. The use of artificial intelligence, and in particular, deep learning, to synthesize large amounts of data and to understand better how clinical and imaging data can be leveraged to improve stroke care promises a new era of stroke care. In this article, we review common deep learning model structures for stroke imaging, evaluation metrics for model performance, and studies that investigated deep learning application in acute ischemic stroke care and secondary prevention.Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.