Journal of Yeungnam Medical Science

A 30-year-old male patient who experienced recurring weakness in bilateral upper and lower extremities: a clinical vignette: Soo Hyun Ahn, Mathieu Boudier-Revéret, Seoyon Yang, Min Cheol Chang; J Yeungnam Med Sci. 2025;42:27. Published online February 17, 2025; DOI: https://doi.org/10.12701/jyms.2025.42.27 [Epub ahead of print]

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Differences in pain treatment between the healthcare systems in South Korea and Quebec and proposals for improvements: Min Cheol Chang, Mathieu Boudier-Revéret; J Yeungnam Med Sci. 2025;42:16. Published online December 18, 2024; DOI: https://doi.org/10.12701/jyms.2024.01410

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Abstract PDF: After a year of exchange in Montreal, a South Korean academic physiatrist and his Canadian colleague have reflected on the strengths and weaknesses of their respective healthcare systems. They have focused more specifically on physiatrist-delivered pain medicine treatments. This article is written based on personal perspectives. It aims to present the differences between the systems in South Korea and Quebec, highlighting the issues arising from each system and providing perspectives on potential solutions.

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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Abstract PDF Supplementary 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.

Differential diagnosis of suddenly developed motor weakness in bilateral lower extremities of a 79-year-old male patient: Seong Yeob Kwak, Mathieu Boudier-Revéret, Min Cheol Chang; J Yeungnam Med Sci. 2023;40(4):457-460. Published online January 9, 2023; DOI: https://doi.org/10.12701/jyms.2022.00787

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A 40-year-old man with neuropathic pain in the entire left foot: Jae Hwa Bae, Mathieu Boudier-Revéret, Min Cheol Chang; J Yeungnam Med Sci. 2023;40(2):223-224. Published online August 30, 2022; DOI: https://doi.org/10.12701/jyms.2022.00486

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The pros and cons of entry restrictions: are entry restrictions really effective in preventing the spread of SARS-CoV-2?: Donghwi Park, Mathieu Boudier-Revéret, Min Cheol Chang; J Yeungnam Med Sci. 2022;39(4):344-346. Published online January 14, 2022; DOI: https://doi.org/10.12701/yujm.2021.01599

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Abstract PDF

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly spread worldwide, leading the World Health Organization to declare coronavirus disease 2019 (COVID-19) a pandemic. To curb the unchecked spread of SARS-CoV-2 infection, most countries have enforced travel restrictions. However, it is debatable whether such restrictions are effective in containing infections and preventing pandemics. Rather, they may negatively impact economies and diplomatic relationships. Each government should conduct an extensive and appropriate analysis of its national economy, diplomatic status, and COVID-19 preparedness to decide whether it is best to restrict entering travelers. Even if travelers from other countries are allowed entry, extensive contact tracing is required to prevent the spread of COVID-19. In addition, governments can implement “travel bubbles,” which allow the quarantine-free flow of people among countries with relatively low levels of community transmission. An accurate evaluation of the benefits and losses due to entry restrictions during the COVID-19 pandemic would be helpful in determining whether entry restrictions are an effective measure to reduce the spread of infection in future pandemics.

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“Exceptionally challenging time for all of us”: Qualitative study of the COVID-19 experiences of partners of diplomatic personnel
Samantha K. Brooks, Dipti Patel, Neil Greenberg, Joseph Adu
PLOS ONE.2023; 18(11): e0293557. CrossRef

Tarsal tunnel syndrome due to talocalcaneal coalition: Chul Hyun Park, Mathieu Boudier-Revéret, Min Cheol Chang; J Yeungnam Med Sci. 2023;40(1):106-108. Published online October 5, 2021; DOI: https://doi.org/10.12701/yujm.2021.01473

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Deep-Learning Algorithms for Prescribing Insoles to Patients with Foot Pain
Jeoung Kun Kim, Yoo Jin Choo, In Sik Park, Jin-Woo Choi, Donghwi Park, Min Cheol Chang
Applied Sciences.2023; 13(4): 2208. CrossRef

Playing snakes and ladders with the common fibular nerve on ultrasound after knee dislocation: Natan Bensoussan, Mathieu Boudier-Revéret, Johan Michaud; J Yeungnam Med Sci. 2022;39(3):266-267. Published online September 15, 2021; DOI: https://doi.org/10.12701/yujm.2021.01389

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Serotonin syndrome in a patient with chronic pain taking analgesic drugs mistaken for psychogenic nonepileptic seizure: a case report: Mathieu Boudier-Revéret, Min Cheol Chang; Yeungnam Univ J Med. 2021;38(4):371-373. Published online April 5, 2021; DOI: https://doi.org/10.12701/yujm.2021.00948

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Abstract PDF Supplementary Material

Serotonin syndrome (SS) is a potentially life-threatening condition that is caused by the administration of drugs that increase serotonergic activity in the central nervous system. We report a case of serotonin syndrome in a patient with chronic pain who was taking analgesic drugs. A 36-year-old female with chronic pain in the lower back and right buttock area had been taking tramadol hydrochloride 187.5 mg, acetaminophen 325 mg, pregabalin 150 mg, duloxetine 60 mg, and triazolam 0.25 mg daily for several months. After amitriptyline 10 mg was added to achieve better pain control, the patient developed SS, which was mistaken for psychogenic nonepileptic seizure. However, her symptoms completely disappeared after discontinuation of the drugs that were thought to trigger SS and subsequent hydration with normal saline. Various drugs that can increase serotonergic activity are being widely prescribed for patients with chronic pain. Clinicians should be aware of the potential for the occurrence of SS when prescribing pain medications to patients with chronic pain.

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Diagnosis and treatment of serotonin syndrome
Je Sung You, Sung Phil Chung
Journal of The Korean Society of Clinical Toxicology.2024; 22(2): 11. CrossRef

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