Impact of artificial intelligence in managing musculoskeletal pathologies in physiatry: a qualitative observational study evaluating the potential use of ChatGPT versus Copilot for patient information and clinical advice on low back pain
Background The self-management of low back pain (LBP) through patient information interventions offers significant benefits in terms of cost, reduced work absenteeism, and overall healthcare utilization. Using a large language model (LLM), such as ChatGPT (OpenAI) or Copilot (Microsoft), could poten...
Saved in:
Main Authors: | Christophe Ah-Yan, Ève Boissonnault, Mathieu Boudier-Revéret, Christopher Mares |
---|---|
Format: | Article |
Language: | English |
Published: |
Yeungnam University College of Medicine, Yeungnam University Institute Medical Science
2025-01-01
|
Series: | Journal of Yeungnam Medical Science |
Subjects: | |
Online Access: | http://www.e-jyms.org/upload/pdf/jyms-2024-01151.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain
by: Erkan Ozduran, et al.
Published: (2025-01-01) -
ChatGPT in orthodontics: limitations and possibilities
by: Lima Nara Grazieli Martins, et al.
Published: (2024-07-01) -
The Self-Perception and Political Biases of ChatGPT
by: Jérôme Rutinowski, et al.
Published: (2024-01-01) -
Scientific Article Writing: Will ChatGPT Help?
by: I. M. Zashikhina
Published: (2023-09-01) -
Benefits, limits, and risks of ChatGPT in medicine
by: Jonathan A. Tangsrivimol, et al.
Published: (2025-01-01)