Year: 2025
Type: article
Abstract: Artificial intelligence and stroke are an intriguing union with vast improvements in health benefits anticipated. Impactful artificial intelligence contributions are emerging in stroke diagnosis, rehabilitation protocols, and movement activity monitoring. Identifying stroke locations via magnetic renounce images will shorten the time delay post stroke and minimize the effects of the disrupted blood flow in the brain. Insightful rehabilitation protocols will be evidence-based as well as prescribed for specific individuals post stroke. Machine learning, immersive virtual reality, and deep learning will further substantiate the importance of voluntary movements as the basis for neural plasticity post stroke.
Author: James Cauraugh
Institution: University of Florida
Language: English
Subfield: Rehabilitation
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4407136435