Performance of ChatGPT in the In-Training Examination for Anesthesiology and Pain Medicine Residents in South Korea: Observational Study

This study underscores the potential of AI tools, such as ChatGPT, in medical education and practice but emphasizes the need for cautious application and further refinement, especially in non-English medical contexts. The findings suggest that although AI advancements are promising, they require careful evaluation and development to ensure acceptable performance across diverse linguistic and professional settings.

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Publication Details

Journal
JMIR Medical Education
Published
2024-09-16
DOI
https://doi.org/10.2196/56859
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.60
Controls
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article

Performance of ChatGPT in the In-Training Examination for Anesthesiology and Pain Medicine Residents in South Korea: Observational Study

Soo‐Hyuk Yoon, Byung Gun Lim, Seok Kyeong Oh, Ho‐Jin Lee
5 citations
JMIR Medical Education
Artificial Intelligence in Healthcare and Education
0.60
article

Performance of ChatGPT in the In-Training Examination for Anesthesiology and Pain Medicine Residents in South Korea: Observational Study

Soo‐Hyuk Yoon, Byung Gun Lim, Seok Kyeong Oh, Ho‐Jin Lee
article en
5 citations

Abstract

This study underscores the potential of AI tools, such as ChatGPT, in medical education and practice but emphasizes the need for cautious application and further refinement, especially in non-English medical contexts. The findings suggest that although AI advancements are promising, they require careful evaluation and development to ensure acceptable performance across diverse linguistic and professional settings.

JMIR Medical EducationVol. 10
Korea University (KR), Seoul National University Hospital (KR)
Quality Education
Openalex Percentile: Top 29%
Artificial Intelligence in Healthcare and Education
0.60
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