The Impact of Artificial Intelligence (AI) in Physiotherapy Practice: A Study of Physiotherapist Willingness and Readiness

  • Abuzaid M
  • Elshami W
  • Hegazy F
  • et al.
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Abstract

Analyzing the current state of artificial intelligence (AI) is a critical first step toward its integration into physiotherapy practice. Therefore, this study aimed to assess physiotherapist (PT) perceptions, knowledge, and willingness to accept AI implementation. An exploratory cross-sectional online questionnaire was conducted for PT working in Unite Arab Emirates (UAE) from October to December 2021. A previously validated survey gathered the participant's demographic information, perceptions, knowledge, readiness, and challenges of integrating AI into practice. The results showed a considerable lack of knowledge among PT about AI. Most of the participants appreciated the role of AI applications and expected it would play a significant role in practice. Participants indicated the lack of educational resources and proper training as the main challenges for AI integration. Participants expressed a strong desire to incorporate AI into undergraduate and graduate programs. The excitement about integrating AI in physiotherapy practice requires an effort to provide education and training for students and professionals. Physiotherapists were worried that the job disturbance could be released with proper preparations to improve awareness about the AI role and challenges. Implementation of AI into PT practice will shape the future of healthcare delivery and education of physiotherapists. AI will make a faster diagnosis, better performance, and accurate results for patients and providers. Even at this early stage of AI implementation in physiotherapy, AI application raises questions and increase expectations.

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APA

Abuzaid, M. M., Elshami, W., Hegazy, F., Aboelnasr, E. A., & Tekin, H. O. (2022). The Impact of Artificial Intelligence (AI) in Physiotherapy Practice: A Study of Physiotherapist Willingness and Readiness. Journal of Hunan University Natural Sciences, 49(3), 196–201. https://doi.org/10.55463/issn.1674-2974.49.3.21

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