Integrating artificial intelligence into entry-level physiotherapy education: from emerging interest to educational imperative
DOI:
https://doi.org/10.5281/zenodo.19593372Keywords:
Artificial intelligence, physiotherapy education, clinical reasoningAbstract
This letter to the editor highlights the limited integration of artificial intelligence (AI) into physiotherapy education despite its growing role in healthcare. It argues that current curricula may not adequately prepare students for digitalized clinical environments and emphasizes the need for structured inclusion of AI, including technical knowledge, critical thinking, and ethical awareness.
References
Aggarwal A, Tam CC, Wu D, Li X, Qiao S. Artificial intelligence-based chatbots for promoting health behavioral changes: systematic review. J Med Internet Res. 2023;25:e40789.
Thirunavukarasu AJ, Ting DSJ, Elangovan K, Gutierrez L, Tan TF, Ting DSW. Large language models in medicine. Nat Med. 2023;29(8):1930-1940.
Alsobhi M, Khan F, Chevidikunnan MF, Basuodan R, Shawli L, Neamatallah Z. Physical therapists' knowledge and attitudes regarding artificial intelligence applications in health care and rehabilitation: cross-sectional study. J Med Internet Res. 2022;24(10):e39565.
Bilika P, Stefanouli V, Strimpakos N, Kapreli EV. Clinical reasoning using ChatGPT: Is it beyond credibility for physiotherapists use? Physiother Theory Pract. 2024;40(12):2943-2962.
Ergezen Sahin G, Aras Bayram G, Sanchez Sierra A, Akdemir S, Kurc D, Tarakci D, et al. Effects of artificial intelligence based physiotherapy educational approach in developing clinical reasoning skills: a randomized controlled trial. BMC Med Educ. 2025;25(1):1378.
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Social and Analytical Health

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.