This paper is in the following e-collection/theme issue:

Artificial Intelligence (AI) in Medical Education (83) Testing and Assessment in Medical Education (55) Specialist Training for Doctors (47) Generative Language Models Including ChatGPT (325) Theme Issue: ChatGPT and Generative Language Models in Medical Education (86) Education and Training in Anesthesiology (12)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56859, first published .
Performance of ChatGPT in the In-Training Examination for Anesthesiology and Pain Medicine Residents in South Korea: Observational Study

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

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

Authors of this article:

Soo-Hyuk Yoon1 Author Orcid Image ;   Seok Kyeong Oh2 Author Orcid Image ;   Byung Gun Lim2 Author Orcid Image ;   Ho-Jin Lee1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics Author Video

Soo-Hyuk Yoon   1 , MD ;   Seok Kyeong Oh   2 , MD, PhD ;   Byung Gun Lim   2 , MD, PhD ;   Ho-Jin Lee   1 , MD, PhD

1 Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea

2 Department of Anesthesiology and Pain Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Ho-Jin Lee, MD, PhD
  • Department of Anesthesiology and Pain Medicine
  • Seoul National University Hospital
  • Seoul National University College of Medicine
  • Daehak-ro 101, Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 220720039
  • Fax: 82 27478363
  • Email: hjpainfree@snu.ac.kr