This paper is in the following e-collection/theme issue:

Artificial Intelligence (1407) Machine Learning (1488) Decision Support for Health Professionals (1201) Clinical Information and Decision Making (1423)

Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39565, first published .
Physical Therapists’ Knowledge and Attitudes Regarding Artificial Intelligence Applications in Health Care and Rehabilitation: Cross-sectional Study

Physical Therapists’ Knowledge and Attitudes Regarding Artificial Intelligence Applications in Health Care and Rehabilitation: Cross-sectional Study

Physical Therapists’ Knowledge and Attitudes Regarding Artificial Intelligence Applications in Health Care and Rehabilitation: Cross-sectional Study

Authors of this article:

Mashael Alsobhi1 Author Orcid Image ;   Fayaz Khan1 Author Orcid Image ;   Mohamed Faisal Chevidikunnan1 Author Orcid Image ;   Reem Basuodan2 Author Orcid Image ;   Lama Shawli3 Author Orcid Image ;   Ziyad Neamatallah1 Author Orcid Image
Article Authors Cited by (13) Tweetations (7) Metrics

Journals

  1. Alsobhi M, Sachdev H, Chevidikunnan M, Basuodan R, K U D, Khan F. Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach. International Journal of Environmental Research and Public Health 2022;19(23):15919 View
  2. Scheper M, van Velzen M, L U van Meeteren N. Towards responsible use of artificial intelligence in daily practice: what do physiotherapists need to know, consider and do?. Journal of Physiotherapy 2024;70(2):81 View
  3. Lowe S. The role of artificial intelligence in Physical Therapy education. Bulletin of Faculty of Physical Therapy 2024;29(1) View
  4. Thompson S, Fecher P. Using Adult Learning Theory to Guide Instruction in Training Physical Therapy Students on the Use of AI in Didactic Education. Medical Science Educator 2024;34(5):971 View
  5. Shawli L, Alsobhi M, Faisal Chevidikunnan M, Rosewilliam S, Basuodan R, Khan F. Physical therapists’ perceptions and attitudes towards artificial intelligence in healthcare and rehabilitation: A qualitative study. Musculoskeletal Science and Practice 2024;73:103152 View
  6. Areias A, Janela D, Moulder R, Molinos M, Bento V, Moreira C, Yanamadala V, Correia F, Costa F. Applying AI to Safely and Effectively Scale Care to Address Chronic MSK Conditions. Journal of Clinical Medicine 2024;13(15):4366 View
  7. Lowe S. The use of artificial intelligence in crafting a novel method for teaching normal human gait. European Journal of Physiotherapy 2024:1 View
  8. Reis F, Carvalho M, Neves G, Nogueira L, Meziat-Filho N. Machine learning methods in physical therapy: A scoping review of applications in clinical context. Musculoskeletal Science and Practice 2024;74:103184 View
  9. Azemmour Y, Beddaa H. L’intelligence artificielle... quels défis pour la kinésithérapie ?. Kinésithérapie, la Revue 2024 View
  10. Severin R, Gagnon K. An Early Snapshot of Attitudes Toward Generative Artificial Intelligence in Physical Therapy Education. Journal of Physical Therapy Education 2024 View
  11. Harvey D, White S, Reid D, Cook C. A consensus-based agreement on a definition of a process variable: findings from a New Zealand nominal group technique study. BMC Health Services Research 2024;24(1) View
  12. Jirakrit L, Araya Y, Supattanawaree T. Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis. IgMin Research 2024;2(11):929 View