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Nyberg, C. C. and Morris, E. (2023) Letter to the editor: "Revolutionizing Clinical Education: Opportunities and Challenges of AI Integration". European Journal of Physiotherapy. pp. 1-2. ISSN 2167-9169
![[thumbnail of This is an Accepted Manuscript of an article published by Taylor & Francis in European Journal of Physiotherapy on 11 April 2023 available online: https://doi.org/10.1080/21679169.2023.2198571]](https://eprints.chi.ac.uk/style/images/fileicons/text.png)
Text (This is an Accepted Manuscript of an article published by Taylor & Francis in European Journal of Physiotherapy on 11 April 2023 available online: https://doi.org/10.1080/21679169.2023.2198571)
SPHY-2023-0058_Proof_hi.pdf - Accepted Version
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Official URL: https://doi.org/10.1080/21679169.2023.2198571
Abstract
The integration of artificial intelligence (AI) into clinical practice has the potential to 5significantly impact the way in which physiotherapists within the multidisciplinary team 6(MDT) are trained and the care they provide to patients. This letter will explore the current 7and potential implications of AI on clinical education.
| Publication Type: | Articles |
|---|---|
| Uncontrolled Keywords: | AI, Simulation, Education, VR, healthcare, Health services, Evidence based physiotherapy/medicine, EBM, Interprofessional practice |
| Subjects: | L Education > LB Theory and practice of education > LB2300 Higher Education R Medicine > RT Nursing R Medicine > RZ Other systems of medicine |
| Divisions: | Academic Areas > School of Nursing and Allied Health > Nursing Academic Areas > School of Nursing and Allied Health > Physiotherapy |
| Depositing User: | Connor Nyberg |
| Date Deposited: | 25 Apr 2023 09:27 |
| Last Modified: | 25 Apr 2023 09:27 |
| URI: | https://eprints.chi.ac.uk/id/eprint/6788 |
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