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Physiotherapy and Occupational Therapy Journal 17(4):p 247-252, October-December 2024. | DOI: http://dx.doi.org/10.21088/potj.0974.5777.17424.8
Review Article
Artificial Intelligence in Physiotherapy: A Narrative Review of Advancements in Education, Clinical Practice, and Research
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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
Physiotherapy and Occupational Therapy Journal 17(4):p 247-252, October-December 2024. | DOI: http://dx.doi.org/10.21088/potj.0974.5777.17424.8
How Cite This Article:
Singh R. Artificial intelligence in physiotherapy: a narrative review of advancements in education, clinical practice, and research. Physio and Occ Therapy Jr. 2024;17(4):247-252.Timeline
Received : September 09, 2024
Accepted : October 16, 2024
Published : December 24, 2024
Abstract
AI is transforming physiotherapy by advancing education, clinical practice, and research. Simulations, virtual reality, and personalized learning platforms enhance education, equipping students with adaptive skills for evolving environments. Machine learning algorithms and wearable sensors enable accurate diagnoses and tailored robotic-assisted therapies, thus improving patient outcomes. AI also accelerates data analysis, supports predictive modeling, and fosters evidence-based practices, driving innovation in the field. However, challenges like ethical concerns, poor digital literacy among practitioners, and high implementation costs hinder adoption. Addressing these requires interdisciplinary collaboration, ethical standards, and targeted training programs. Embracing AI can modernize physiotherapy, ensuring its relevance in healthcare by optimizing patient care and advancing education and research methodologies.
References
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Data Sharing Statement
There are no additional data available.
Funding
This research received no funding.
Author Contributions
All authors contributed significantly to the work and approve its publication.
Ethics Declaration
This article does not involve any human or animal subjects, and therefore does not require ethics approval
Acknowledgements
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Conflicts of Interest
No conflicts of interest in this work.
About this article
Cite this article
Singh R. Artificial intelligence in physiotherapy: a narrative review of advancements in education, clinical practice, and research. Physio and Occ Therapy Jr. 2024;17(4):247-252.
Licence:
Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
| Received | Accepted | Published |
|---|---|---|
| September 09, 2024 | October 16, 2024 | December 24, 2024 |
DOI: http://dx.doi.org/10.21088/potj.0974.5777.17424.8
Keywords
Artificial IntelligenceClinical PracticePhysiotherapy EducationResearchSearch for Similar Articles
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Timeline
| Received | September 09, 2024 |
| Accepted | October 16, 2024 |
| Published | December 24, 2024 |
licence
Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
