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

Mohamed M. Abuzaid, Wiam Elshami, Fatma Hegazy, Emad A Aboelnasr, Huseyin O. Tekin


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.


Keywords: artificial intelligence, deep learning, physiotherapy, physiotherapist, knowledge, practice.


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DAVENPORT T., & KALAKOTA R. Digital Technology: The potential for artificial intelligence in healthcare. Futur Healthcare Journal, 2019, 6(2): 94–102.

KAHILE M., DESHMUKH N., MAKHIJA L. H., CHAUDHARY S., AMBAD R., and BANKAR N. Artificial Intelligence (AI) and Machine Learning (ML) in Clinical Practice and Physiotherapy. Annals of Medical and Health Science Research, 2021, 11(S3): 158–159.

CHU L. Machine Learning Methods. Sensors, 2021, 21(4853): 1–21.

SÖDERLUND A. Artificial intelligence and physiotherapy–editorial. European Journal of Physiotherapy, 2019, 21(1): 1.

ROWE M. Artificial intelligence in clinical practice : Implications for physiotherapy education. OpenPhysio, 2019: 1–6.

GODSE S. P. Musculoskeletal Physiotherapy using Artificial Intelligence and Machine Learning. International Journal of Innovative Science and Research Technology, 2019, 4(11): 592–598.

KULKARNI S., SENEVIRATNE N., BAIG M. S., and AHA K. Artificial Intelligence in Medicine: Where Are We Now? Academic Radiology, 2020, 27(1): 62–70.

ABUZAID M. M., TEKIN H. O., REZA M., ELHAG I. R., and ELSHAMI W. Assessment of MRI technologists in acceptance and willingness to integrate artificial intelligence into practice. Radiography, 2021, 27: 83–87.

ABUZAID M. M., ELSHAMI W., MCCONNELL J., and TEKIN H. O. An extensive survey of radiographers from the Middle East and India on artificial intelligence integration in radiology practice. Health and Technology, 2021, 11(5): 1045–1050.

ABUZAID M. M., ELSHAMI W., TEKIN H., and ISSA B. Assessment of the Willingness of Radiologists and Radiographers to Accept the Integration of Artificial Intelligence Into Radiology Practice. Academic Radiology, 2022, 29(1): 87–94.

ROWE M., NICHOLLS D. A., and SHAW J. How to replace a physiotherapist: artificial intelligence and the redistribution of expertise. Physiotherapy Theory and Practice, 2021; 00(00): 1–9.

TACK C. Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy. Musculoskelet Science and Practice, 2019, 39: 164–169.

ABUZAID M., & ELSHAMI W. Integrating of scenario-based simulation into radiology education to improve critical thinking skills. Reports in Medical Imaging, 2016, 9: 17–22.

RAMANANDI V. H. Role and scope of artificial intelligence in physiotherapy: A scientific review of literature. International Journal of Advanced Scientific Research, 2021, 6(1): 11–14.


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