Stroke Rehabilitation: Potential Artificial Intelligence Contributions
Inaugural Issue
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Keywords

stroke motor recovery
artificial intelligence
rehabilitation protocols
relearning movements
machine learning
deep learning

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.

https://doi.org/10.32473/aimlrb.1.1.138288
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Copyright (c) 2025 James Cauraugh