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

Theme Issue: ChatGPT and Generative Language Models in Medical Education (66) Chatbots and Conversational Agents (458) e-Learning and Medical Education (645) Artificial Intelligence (1186) Natural Language Processing (636) New Methods and Approaches in Medical Education (192) Testing and Assessment in Medical Education (38)

Published on in Vol 9 (2023)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50514, first published .
Assessment of Resident and AI Chatbot Performance on the University of Toronto Family Medicine Residency Progress Test: Comparative Study

Assessment of Resident and AI Chatbot Performance on the University of Toronto Family Medicine Residency Progress Test: Comparative Study

Assessment of Resident and AI Chatbot Performance on the University of Toronto Family Medicine Residency Progress Test: Comparative Study

Authors of this article:

Ryan ST Huang1 Author Orcid Image ;   Kevin Jia Qi Lu2 Author Orcid Image ;   Christopher Meaney2 Author Orcid Image ;   Joel Kemppainen2 Author Orcid Image ;   Angela Punnett1, 3 Author Orcid Image ;   Fok-Han Leung2 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

Ryan ST Huang   1 * , MSc ;   Kevin Jia Qi Lu   2 * , MD ;   Christopher Meaney   2 , MSc ;   Joel Kemppainen   2 ;   Angela Punnett   1, 3 , MD ;   Fok-Han Leung   2 , MD, MHSc

1 Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

2 Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada

3 Division of Haematology, The Hospital for Sick Children, Toronto, ON, Canada

*these authors contributed equally

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