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

Artificial Intelligence (AI) in Medical Education (66) Generative Language Models Including ChatGPT (252) e-Learning and Medical Education (677) Natural Language Processing (662) Testing and Assessment in Medical Education (43) Design of Educational Technology (38) Chatbots and Conversational Agents (502) Theme Issue: ChatGPT and Generative Language Models in Medical Education (76)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56342, first published .
Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study

Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study

Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study

Authors of this article:

Harry B Burke1 Author Orcid Image ;   Albert Hoang1 Author Orcid Image ;   Joseph O Lopreiato1 Author Orcid Image ;   Heidi King2 Author Orcid Image ;   Paul Hemmer1 Author Orcid Image ;   Michael Montgomery1 Author Orcid Image ;   Viktoria Gagarin1 Author Orcid Image
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