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Vol.17 Issue.1 · January - March 2026
Page: 57-61 Letter to the Editor 258x viewed
Previous Article

Integration of artificial ıntelligence in physical therapy: Decision-making, opportunities, and ethical challenges

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Published Online: 28 March 2026 · Accepted: 15 March 2026 · Received: 3 December 2025
Doi: 10.15511/tjtfp.26.00157
Cite Code: The Journal of Turkish Family Physician 2026;17(1):57-61
Authors: Muhammad Shazib Butt 1 · Aamir Gul Memon 2
1 Rehabilitation Sciences, Superior University, Ph.D, Lahore, Pakistan
2 Department of Physiotherapy & Rehabilitation Sciences, Faculty of Allied Health Sciences, Superior University, Associate Professor, Lahore, Pakistan

Alıntı Kodu: Butt MS and Memon AG. Integration of Artificial Intelligence in Physical Therapy: Decision-Making, Opportunities, and Ethical Challenges. Jour Turk Fam Phy 2026; 17 (1): 57-61. Doi: 10.15511/tjtfp.26.00157.

This article is published online with Open Access and distributed under the terms of the Creative Commons
Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).


Keywords: Artificial Intelligence · physical therapy · rehabilitation
PDF - Integration of artificial ıntelligence in physical therapy: Decision-making, opportunities, and ethical challenges
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Abstract
References

This letter is about the use of artificial intelligence (AI) which is rapidly transforming the healthcare sector in the field of physical therapy. AI benefits could be enormous in terms of efficiency, individualized interventions, and clinical judgment based on evidence. In spite of the improvements, the problem of autonomy, data privacy, and the risk of algorithmic bias still remains alive. Strong ethical use and regulatory safeguards are needed. A human centered approach is necessary since the evidence shows that overreliance on automated machines may reduce the degree of therapeutic relationship, perceived empathy. The advances of AI will require joint collaboration among clinicians, engineers, data scientists, and ethicists.

References

  1. Sumner J, Lim HW, Chong LS, Bundele A, Mukhopadhyay A, Kayambu G. Artificial intelligence in physical rehabilitation: A systematic review. Artificial Intelligence in Medicine 2023 Dec;146:102693.
  2. Gandi R, Suseela G, Singh S, Prakash K LNC, Kumar VKA, Sudhakara M. Data-Driven Rehabilitation Using Machine Learning Approaches for Adaptive Recovery and Treatment. Predictive Algorithms for Rehabilitation and Assistive Systems [Internet]. 2025 Apr 25 [cited 2025 Nov 23]:31–66.
  3. Hulleck AA, Menoth Mohan D, Abdallah N, El Rich M, Khalaf K. Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies. Frontiers in Medical Technology. Front Med Technol 2022 Dec 16:4:901331.
  4. Park YH, Lee DH, Lee JH. A Comprehensive Review: Robot-Assisted treatments for gait rehabilitation in stroke patients. Medicina 2024 Apr 10;60(4):620.
  5. Li H, Moon JT, Shankar V, Newsome J, Gichoya J, Bercu Z. Health inequities, bias, and artificial intelligence. Techniques in Vascular and Interventional Radiology 2024 Sep;27(3):100990.
  6. Schlicht L, Räker M. A context-specific analysis of ethical principles relevant for AI-assisted decision-making in health care. AI and Ethics 2023 Jul 24;4:1251-63.
  7. Escalante-Martínez AS, García-Pérez M, Ovalle-Magallanes E. Artificial Intelligence in Assistive Technologies for Rehabilitation and Healthcare. Intelligent Systems Reference Library 2025;279:117–34.
  8. Turchi T, Prencipe G, Malizia A, Filogna S, Latrofa F, Sgandurra G. Pathways to democratized healthcare: Envisioning human-centered AI-as-a-service for customized diagnosis and rehabilitation. Artificial intelligence in medicine 2024 May;151:102850.
  9. Lama Shawli, Mashael Alsobhi, Mohamed Faisal Chevidikunnan, Sheeba Rosewilliam, Reem Basuodan, Khan F. Physical Therapists’ Perceptions and Attitudes towards Artificial Intelligence in Healthcare and Rehabilitation: A Qualitative Study. Musculoskelet Sci Pract 2024 Oct;73:103152.
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The Journal of Turkish Family Physician (e-ISSN 2148-550X) is a peer-reviewed national periodical journal published four times a year, quarterly on-line only. The journal can include all scientific, evidence-based articles in both Turkish and English, such as research articles, case reports, reviews, letters to the editor, national and international scientific documents and translations, which are related to general medicine and family medicine and primary health care services.

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