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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (66) Artificial Intelligence (1189) Natural Language Processing (637) e-Learning and Medical Education (645) Clinical Information and Decision Making (1315) Ontologies, Classifications, and Coding (224) Machine Learning (1373) Chatbots and Conversational Agents (459) Generative Language Models Including ChatGPT (202)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48514, first published .
Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study

Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study

Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study

Authors of this article:

Peng Yu1 Author Orcid Image ;   Changchang Fang1 Author Orcid Image ;   Xiaolin Liu2 Author Orcid Image ;   Wanying Fu1 Author Orcid Image ;   Jitao Ling1 Author Orcid Image ;   Zhiwei Yan3 Author Orcid Image ;   Yuan Jiang4 Author Orcid Image ;   Zhengyu Cao4 Author Orcid Image ;   Maoxiong Wu4 Author Orcid Image ;   Zhiteng Chen4 Author Orcid Image ;   Wengen Zhu5 Author Orcid Image ;   Yuling Zhang4 Author Orcid Image ;   Ayiguli Abudukeremu4 Author Orcid Image ;   Yue Wang4 Author Orcid Image ;   Xiao Liu4 Author Orcid Image ;   Jingfeng Wang4 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Chan J, Dong T, Angelini G. The performance of large language models in intercollegiate Membership of the Royal College of Surgeons examination. The Annals of The Royal College of Surgeons of England 2024 View