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Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective
Artificial intelligence (AI) and machine learning (ML) are powerful technologies with the potential to revolutionize motor recovery in rehabilitation medicine. This perspective explores how AI and ML are harnessed to assess, diagnose, and design personalized treatment plans for patients with motor i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631394/ https://www.ncbi.nlm.nih.gov/pubmed/37946764 http://dx.doi.org/10.12998/wjcc.v11.i29.7258 |
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author | Swarnakar, Raktim Yadav, Shiv Lal |
author_facet | Swarnakar, Raktim Yadav, Shiv Lal |
author_sort | Swarnakar, Raktim |
collection | PubMed |
description | Artificial intelligence (AI) and machine learning (ML) are powerful technologies with the potential to revolutionize motor recovery in rehabilitation medicine. This perspective explores how AI and ML are harnessed to assess, diagnose, and design personalized treatment plans for patients with motor impairments. The integration of wearable sensors, virtual reality, augmented reality, and robotic devices allows for precise movement analysis and adaptive neurorehabilitation approaches. Moreover, AI-driven telerehabilitation enables remote monitoring and consultation. Although these applications show promise, healthcare professionals must interpret AI-generated insights and ensure patient safety. While AI and ML are in their early stages, ongoing research will determine their effectiveness in rehabilitation medicine. |
format | Online Article Text |
id | pubmed-10631394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-106313942023-11-09 Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective Swarnakar, Raktim Yadav, Shiv Lal World J Clin Cases Letter to the Editor Artificial intelligence (AI) and machine learning (ML) are powerful technologies with the potential to revolutionize motor recovery in rehabilitation medicine. This perspective explores how AI and ML are harnessed to assess, diagnose, and design personalized treatment plans for patients with motor impairments. The integration of wearable sensors, virtual reality, augmented reality, and robotic devices allows for precise movement analysis and adaptive neurorehabilitation approaches. Moreover, AI-driven telerehabilitation enables remote monitoring and consultation. Although these applications show promise, healthcare professionals must interpret AI-generated insights and ensure patient safety. While AI and ML are in their early stages, ongoing research will determine their effectiveness in rehabilitation medicine. Baishideng Publishing Group Inc 2023-10-16 2023-10-16 /pmc/articles/PMC10631394/ /pubmed/37946764 http://dx.doi.org/10.12998/wjcc.v11.i29.7258 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Letter to the Editor Swarnakar, Raktim Yadav, Shiv Lal Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective |
title | Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective |
title_full | Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective |
title_fullStr | Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective |
title_full_unstemmed | Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective |
title_short | Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective |
title_sort | artificial intelligence and machine learning in motor recovery: a rehabilitation medicine perspective |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631394/ https://www.ncbi.nlm.nih.gov/pubmed/37946764 http://dx.doi.org/10.12998/wjcc.v11.i29.7258 |
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