Legal and Ethical Challenges of Using Artificial Intelligence in Physiotherapy and Digital Rehabilitation
Journal of Clinical Physiotherapy Research,
Vol. 10 No. 1 (2025),
15 Aban 2025
,
Page 1-7
https://doi.org/10.22037/jcpr.v10i1.50869
Abstract
Background: Artificial Intelligence has vast potential to transform physiotherapy and digital rehabilitation through the following aspects: improving the accuracy of diagnosis, treatment planning, and patient outcomes. Its fast adoption into the healthcare industry, however, requires an in-depth review of the legal and other ethical concerns involved. These issues cut across key domains of information privacy, algorithm discrimination, transparency, accountability, and the maintenance of human-centered care, which are essential in the responsible use of Artificial Intelligence. Methods: The article is based on a descriptive-analytical approach to discovering, summing up, and evaluating the legal and ethical issues related to the artificial intelligence in physiotherapy and rehabilitation. The reviewed databases were Medline (PubMed), Embase (OVID), Scopus, Web of Science, Google Scholar and SSRN. Articles that were published within the period of 2010 to 2025 were searched so that only the most recent development and discussion in this field are reflected.Findings: The potential of Artificial Intelligence is indeed great, but there are numerous compound ethical and legal challenges to its application. Among the ethical concerns, there is patient data privacy. Algorithm’s bias develops the possibility of unfair outcomes. Some Artificial Intelligence systems have a black box character, which contests transparency and explain ability and undermine trust and informed decision-making. It is legally unclear how to delineate accountability and liability in the case of errors caused by Artificial Intelligence because there are no established regulatory frameworks.Conclusion: The ethical and successful introduction of Artificial Intelligence into physiotherapy and digital rehabilitation is determined by a proactive approach to the challenges that this technology poses in the legal and ethical context. This necessitates the formulation of sound regulatory policies, explicit ethics, and thorough training of medical workers. The importance of data privacy, reducing algorithmic bias, improving transparency, and better understanding accountability is of utmost priority in making Artificial Intelligence an extension and not a replacement of human-centered care. The future of Artificial Intelligence in this aspect relies on a fine line between the technological innovation and the firm adherence to the ethics and the best interests of patients.
- Artificial Intelligence, Legal, Ethical, Physiotherapy, Digital Rehabilitation
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References
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