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

Research Letter (37) Clinical Informatics (1022) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311) Artificial Intelligence (1371) Digital Health, Telehealth and e-Innovation in Clinical Settings (401) Decision Support for Health Professionals (1185) Methods and Instruments in Medical Informatics (126) Ontologies, Classifications, and Coding (239)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53724, first published .
Evaluating the Diagnostic Performance of Large Language Models on Complex Multimodal Medical Cases

Evaluating the Diagnostic Performance of Large Language Models on Complex Multimodal Medical Cases

Evaluating the Diagnostic Performance of Large Language Models on Complex Multimodal Medical Cases

Authors of this article:

Wan Hang Keith Chiu1 Author Orcid Image ;   Wei Sum Koel Ko1 Author Orcid Image ;   William Chi Shing Cho2 Author Orcid Image ;   Sin Yu Joanne Hui3 Author Orcid Image ;   Wing Chi Lawrence Chan4 Author Orcid Image ;   Michael D Kuo5 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Wan Hang Keith Chiu   1 ;   Wei Sum Koel Ko   1 ;   William Chi Shing Cho   2 , PhD ;   Sin Yu Joanne Hui   3 ;   Wing Chi Lawrence Chan   4 , PhD ;   Michael D Kuo   5 , MD

1 Department of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Hong Kong, China (Hong Kong)

2 Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, China (Hong Kong)

3 School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong)

4 Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

5 Ensemble Group, Scottsdale, AZ, United States

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