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

AI Language Models in Health Care (157) Innovations in Mental Health Systems (459) Natural Language Processing (860) Artificial Intelligence (1966) Depression and Mood Disorders; Suicide Prevention (1609) Machine Learning (1934) Clinical Information and Decision Making (1789) Decision Support for Health Professionals (1449) Generative Language Models Including ChatGPT (617)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64318, first published .
Performance Assessment of Large Language Models in Medical Consultation: Comparative Study

Performance Assessment of Large Language Models in Medical Consultation: Comparative Study

Performance Assessment of Large Language Models in Medical Consultation: Comparative Study

Authors of this article:

Sujeong Seo1, 2 Author Orcid Image ;   Kyuli Kim1 Author Orcid Image ;   Heyoung Yang1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Sujeong Seo   1, 2 * , MS ;   Kyuli Kim   1 * , MS ;   Heyoung Yang   1 * , PhD

1 Future Technology Analysis Center, Korea Institute of Science and Technology Information, Seoul, Republic of Korea

2 Postal Savings & Insurance Development Institute, Seoul, Republic of Korea

*all authors contributed equally

Corresponding Author:

  • Heyoung Yang, PhD
  • Future Technology Analysis Center
  • Korea Institute of Science and Technology Information
  • Hoegi-ro 66, Dongdaemun-gu
  • Seoul 92456
  • Republic of Korea
  • Phone: 82 10-9265-5661
  • Fax: 82 2-3299-6188
  • Email: hyyang@kisti.re.kr