Araştırma Makalesi

Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study

Cilt: 9 Sayı: 2 31 Ağustos 2026
PDF İndir
TR EN

Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study

Öz

Aim: This study aimed to evaluate physiotherapists' artificial intelligence (AI)-related characteristics and rehabilitation technology-related characteristics and to identify factors independently associated with rehabilitation technology use during patient follow-up.
Methods: This cross-sectional study included 140 physiotherapists actively practicing in Türkiye. Data were collected using a structured questionnaire assessing sociodemographic, rehabilitation technology-related, and AI-related characteristics, together with researcher-developed items addressing perceptions of rehabilitation technologies and AI in physiotherapy. Descriptive statistics, the Mann–Whitney U test, Pearson's chi-square test, and multivariable logistic regression analysis were performed.
Results: Only 16.4% of participants had received formal AI education, whereas 82.9% reported previous use of at least one AI platform. However, only 23.6% reported using rehabilitation technologies during patient follow-up. AI use frequency and self-rated ethical AI knowledge were higher among non-users of rehabilitation technologies than among users (both p=0.006), and institutional access also differed significantly between groups (p<0.001). In multivariable logistic regression, institutional access was the only factor independently associated with rehabilitation technology use (limited access: OR=13.14, 95% CI: 2.83–61.01, p=0.001; active access: OR=7.04, 95% CI: 1.08–46.11, p=0.042).
Conclusions: Although AI platform use was common among physiotherapists, formal AI education and the clinical use of rehabilitation technologies remained limited. Institutional access was independently associated with rehabilitation technology use; however, the non-monotonic effect estimates across limited and active access categories warrant cautious interpretation. Expanding structured educational opportunities and institutional technological infrastructure may facilitate the integration of AI and rehabilitation technologies into physiotherapy practice.

Anahtar Kelimeler

Artificial Intelligence, Digital health, Physical therapists, Physical therapy modalities

Destekleyen Kurum

None

Etik Beyan

Ethical approval for this study was obtained from the Karabük University Social and Humanities Ethics Committee (Decision No: 2025/5, Date: 30.05.2025).

Teşekkür

None

Kaynakça

  1. 1. Giggins OM, Persson UM, Caulfield B. Biofeedback in rehabilitation. J Neuroeng Rehabil. 2013;10:60. https://doi.org/10.1186/1743-0003-10-60
  2. 2. Laver KE, Lange B, George S, Deutsch JE, Saposnik G, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2017;11(11):CD008349. https://doi.org/10.1002/14651858.CD008349.pub4
  3. 3. Liao Y, Vakanski A, Xian M, Paul D, Baker R. A review of computational approaches for evaluation of rehabilitation exercises. Comput Biol Med. 2020;119:103687. https://doi.org/10.1016/j.compbiomed.2020.103687
  4. 4. Tack C. Artificial intelligence and machine learning applications in musculoskeletal physiotherapy. Musculoskelet Sci Pract. 2019;39:164-169. https://doi.org/10.1016/j.msksp.2018.11.012
  5. 5. Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230-243. https://doi.org/10.1136/svn-2017-000101
  6. 6. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. https://doi.org/10.1038/s41591-018-0300-7
  7. 7. Gagnon MP, Ngangue P, Payne-Gagnon J, Desmartis M. m-Health adoption by healthcare professionals: a systematic review. J Am Med Inform Assoc. 2016;23(1):212–220. https://doi.org/10.1093/jamia/ocv052
  8. 8. Sumner J, Lim HW, Chong LS, Bundele A, Mukhopadhyay A, Kayambu G. Artificial intelligence in physical rehabilitation: a systematic review. Artif Intell Med. 2023;146:102693. https://doi.org/10.1016/j.artmed.2023.102693
  9. 9. Amann J, Blasimme A, Vayena E, Frey D, Madai VI. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC Med Inform Decis Mak. 2020;20(1):310. https://doi.org/10.1186/s12911-020-01332-6
  10. 10. Morley J, Machado CCV, Burr C, Cowls J, Joshi I, Taddeo M, Floridi L. The ethics of AI in health care: a mapping review. Soc Sci Med. 2020;260:113172. https://doi.org/10.1016/j.socscimed.2020.113172

Kaynak Göster

APA
Acar, E., Sevim, M., & Bıçaklar, D. (2026). Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi, 9(2), 1-20. https://doi.org/10.51536/tusbad.1937070
AMA
1.Acar E, Sevim M, Bıçaklar D. Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi. 2026;9(2):1-20. doi:10.51536/tusbad.1937070
Chicago
Acar, Ece, Meryem Sevim, ve Derya Bıçaklar. 2026. “Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study”. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi 9 (2): 1-20. https://doi.org/10.51536/tusbad.1937070.
EndNote
Acar E, Sevim M, Bıçaklar D (01 Ağustos 2026) Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi 9 2 1–20.
IEEE
[1]E. Acar, M. Sevim, ve D. Bıçaklar, “Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study”, Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi, c. 9, sy 2, ss. 1–20, Ağu. 2026, doi: 10.51536/tusbad.1937070.
ISNAD
Acar, Ece - Sevim, Meryem - Bıçaklar, Derya. “Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study”. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi 9/2 (01 Ağustos 2026): 1-20. https://doi.org/10.51536/tusbad.1937070.
JAMA
1.Acar E, Sevim M, Bıçaklar D. Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi. 2026;9:1–20.
MLA
Acar, Ece, vd. “Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study”. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi, c. 9, sy 2, Ağustos 2026, ss. 1-20, doi:10.51536/tusbad.1937070.
Vancouver
1.Ece Acar, Meryem Sevim, Derya Bıçaklar. Artificial Intelligence Readiness and Rehabilitation Technology Use Among Physiotherapists: A Cross-Sectional Study. Türkiye Sağlık Bilimleri ve Araştırmaları Dergisi. 01 Ağustos 2026;9(2):1-20. doi:10.51536/tusbad.1937070