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

Research Letter (5) Artificial Intelligence (1371) Generative Language Models Including ChatGPT (311) Chatbots and Conversational Agents (531)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48780, first published .
Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum

Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum

Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum

Authors of this article:

Tricia Pendergrast1 Author Orcid Image ;   Zachary Chalmers2 Author Orcid Image
Article Authors Cited by (4) Tweetations (22) Metrics

Tricia Pendergrast   1 * , MD ;   Zachary Chalmers   2 * , PhD

1 Department of Anesthesiology, University of Michigan Medicine, Ann Arbor, MI, United States

2 Northwestern University Feinberg School of Medicine, Chicago, IL, United States

*all authors contributed equally

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