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JYMS : Journal of Yeungnam Medical Science

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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
Christophe Ah-Yan, Ève Boissonnault, Mathieu Boudier-Revéret, Christopher Mares
J Yeungnam Med Sci. 2025;42:11.   Published online November 29, 2024
DOI: https://doi.org/10.12701/jyms.2024.01151
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AbstractAbstract PDFSupplementary Material
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 potentially enhance these outcomes further. Thus, it is important to evaluate the LLMs ChatGPT and Copilot in providing medical advice for LBP and assessing the impact of clinical context on the quality of responses.
Methods
This was a qualitative comparative observational study. It was conducted within the Department of Physical Medicine and Rehabilitation, University of Montreal in Montreal, QC, Canada. ChatGPT and Copilot were used to answer 27 common questions related to LBP, with and without a specific clinical context. The responses were evaluated by physiatrists for validity, safety, and usefulness using a 4-point Likert scale (4, most favorable).
Results
Both ChatGPT and Copilot demonstrated good performance across all measures. Validity scores were 3.33 for ChatGPT and 3.18 for Copilot, safety scores were 3.19 for ChatGPT and 3.13 for Copilot, and usefulness scores were 3.60 for ChatGPT and 3.57 for Copilot. The inclusion of clinical context did not significantly change the results.
Conclusion
LLMs, such as ChatGPT and Copilot, can provide reliable medical advice on LBP, irrespective of the detailed clinical context, supporting their potential to aid in patient self-management.
A study on the mental health of students at a medical school during COVID-19 outbreak: a retrospective study
Yu Ra Kim, Hye Jin Park, Bon-Hoon Koo, Ji Young Hwang, Young Hwan Lee
J Yeungnam Med Sci. 2022;39(4):314-321.   Published online August 16, 2022
DOI: https://doi.org/10.12701/jyms.2022.00437
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  • 67 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Background
In this study, the degree of anxiety, depression, and stress caused by coronavirus disease 2019 (COVID-19) was identified, as well as the need for psychological prevention measures among medical students in the Daegu region that was designated the first special disaster area due to the spread of COVID-19.
Methods
The subjects of this study were 318 medical students in Daegu who voluntarily participated in an online test using the Hospital Anxiety and Depression Scale and Impact of Event Scale-Revised Korean version. As a result of the test, risk students received immediate telephone counseling, and the effect of this telephone counseling was analyzed.
Results
There were no differences in depression, anxiety, or stress according to gender and grade. As a result of immediate telephone counseling for risk students, significant differences were found in depression, anxiety, and stress, and the counseling was found to be effective.
Conclusion
For medical students who are easily exposed to stress, the importance of psychological prevention measures and effectiveness of non-face-to-face counseling should be recognized. In the field of medical education, we must do our best to build a system that can be used immediately at the appropriate time for these programs.

Citations

Citations to this article as recorded by  
  • Global prevalence of anxiety and depression among medical students during the COVID-19 pandemic: a systematic review and meta-analysis
    Yen-Ko Lin, Ita Daryanti Saragih, Chia-Ju Lin, Hsin-Liang Liu, Chao-Wen Chen, Yung-Sung Yeh
    BMC Psychology.2024;[Epub]     CrossRef
  • Post-Pandemic Evaluation: Impact of Covid-19 Pandemic on Medical Students’ Mental Health, Self-Esteem, Social Interactions, and Academic Progression in Malaysia
    Sia Woon Teen, Tan Jih Huei, Lee Tiong Chan, Tay Jia Chyi
    Sage Open.2024;[Epub]     CrossRef
  • Study on the Learning Environment of Medical Students in the COVID-19
    Yu Ra Kim, Hye Jin Park, Saeyoon Kim
    Keimyung Medical Journal.2023; 42(2): 80.     CrossRef

JYMS : Journal of Yeungnam Medical Science
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