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

AI Language Models in Health Care (157) Natural Language Processing (860) e-Learning and Digital Medical Education (851) Machine Learning (1934) Testing and Assessment in Medical Education (77) mHealth in Medical Education and Training (112) Theme Issue: ChatGPT and Generative Language Models in Medical Education (112)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69485, first published .
Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations

Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations

Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations

Authors of this article:

Zhong Yao1, 2, 3 Author Orcid Image ;   Liantan Duan4 Author Orcid Image ;   Shuo Xu1, 2, 3 Author Orcid Image ;   Lingyi Chi1, 2, 3 Author Orcid Image ;   Dongfang Sheng4 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Zhong Yao   1, 2, 3 , MD ;   Liantan Duan   4 , BSc ;   Shuo Xu   1, 2, 3 , MD ;   Lingyi Chi   1, 2, 3 , MD ;   Dongfang Sheng   4 , PhD

1 Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China

2 Cheeloo College of Medicine, Shandong University, Jinan, China

3 Brain and Brain-Inspired Science, Shandong University, Jinan, China

4 School of Management, Shandong University, Jinan, China

Corresponding Author: