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Published on 14 May 2025
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Zhang,Y. (2025). Application of AI technology in the field of rehabilitation therapy. Advances in Engineering Innovation,16(5),1-4.
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Application of AI technology in the field of rehabilitation therapy

Yichen Zhang *,1,
  • 1 Shandong University of Traditional Chinese Medicine

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-3903/2025.23017

Abstract

With the rapid development of AI technology, the field of rehabilitation therapy has ushered in unprecedented opportunities for innovation. This paper provides a comprehensive review of the current applications of AI in rehabilitation therapy and the challenges it faces, while also exploring its future development trends. The research finds that the application of AI technology in rehabilitation therapy has significantly improved rehabilitation efficiency and patients’ quality of life. AI can develop personalized rehabilitation plans based on individual patient conditions, achieve precise assessments and training through smart assistive devices, and break through the limitations of time and space with remote rehabilitation services. However, the application of AI in rehabilitation therapy still faces several challenges, including high technological costs, data privacy concerns, and public acceptance. Looking forward, as technologies such as 5G, the Internet of Things, and brain-machine interfaces deeply integrate with AI, rehabilitation medicine is expected to move toward a new stage of greater precision and intelligence.

Keywords

AI, rehabilitation therapy, personalized rehabilitation, smart assistive devices, remote rehabilitation, virtual reality

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Cite this article

Zhang,Y. (2025). Application of AI technology in the field of rehabilitation therapy. Advances in Engineering Innovation,16(5),1-4.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal:Advances in Engineering Innovation

Volume number: Vol.16
ISSN:2977-3903(Print) / 2977-3911(Online)

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