Use of artificial intelligence and machine learning in rehabilitation: A systematic review

  • Unique Paper ID: 173760
  • PageNo: 1556-1568
  • Abstract:
  • Background and Purpose: In rehabilitation medicine, machine learning (ML) and artificial intelligence (AI) are two formidable technologies that have the potential to completely transform motor recovery. Research into the usefulness of AI and ML in rehabilitative medicine is still in its early phases. The purpose of this study is to present a thorough overview of the literature on the application of machine learning and artificial intelligence to rehabilitation. Many strategies have been put out in recent years to help intelligent support and remote monitoring in rehabilitation services. Methods: The database exploration encompassed various search engines, such as Google Scholar and Pub-med, spanning from any date until December 31, 2023. All articles covering topics like artificial intelligence (AI), Machine Learning (ML), robotic features, motor rehabilitation, and AI technology were considered. Out of a total of 17,100 articles, only 17 met the specified inclusion criteria. Discussion and Conclusion: The incorporation of motor learning and artificial intelligence (AI) in the context of rehabilitation initiates a comprehensive discourse on the revolutionary possibilities of this inventive combination. Artificial Intelligence (AI) and Motor learning (ML) enhances rehabilitation outcomes by enabling customized and flexible therapies using sophisticated robotic devices and machine learning algorithms. By encouraging skill development and functional recovery, the integration of motor learning principles further augments the efficacy of these therapies.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{173760,
        author = {dr.priyanka sindwani and dr. chaitanya dhaware},
        title = {Use of artificial intelligence and machine learning in rehabilitation: A systematic review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {1556-1568},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173760},
        abstract = {Background and Purpose: In rehabilitation medicine, machine learning (ML) and artificial intelligence (AI) are two formidable technologies that have the potential to completely transform motor recovery. Research into the usefulness of AI and ML in rehabilitative medicine is still in its early phases. The purpose of this study is to present a thorough overview of the literature on the application of machine learning and artificial intelligence to rehabilitation. Many strategies have been put out in recent years to help intelligent support and remote monitoring in rehabilitation services.
Methods:  The database exploration encompassed various search engines, such as Google Scholar and Pub-med, spanning from any date until December 31, 2023. All articles covering topics like artificial intelligence (AI), Machine Learning (ML), robotic features, motor rehabilitation, and AI technology were considered. Out of a total of 17,100 articles, only 17 met the specified inclusion criteria.
Discussion and Conclusion: The incorporation of motor learning and artificial intelligence (AI) in the context of rehabilitation initiates a comprehensive discourse on the revolutionary possibilities of this inventive combination. Artificial Intelligence (AI) and Motor learning (ML) enhances rehabilitation outcomes by enabling customized and flexible therapies using sophisticated robotic devices and machine learning algorithms. By encouraging skill development and functional recovery, the integration of motor learning principles further augments the efficacy of these therapies.},
        keywords = {},
        month = {March},
        }

Cite This Article

sindwani, D., & dhaware, D. C. (2025). Use of artificial intelligence and machine learning in rehabilitation: A systematic review. International Journal of Innovative Research in Technology (IJIRT), 11(10), 1556–1568.

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