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

Research Letter (6) Artificial Intelligence (1421) Generative Language Models Including ChatGPT (325) Chatbots and Conversational Agents (543)

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

Journals

  1. Sekhar T, Nayak Y, Abdoler E. A Use Case for Generative AI in Medical Education. JMIR Medical Education 2024;10:e56117 View
  2. Pendergrast T, Chalmers Z. Authors’ Reply: A Use Case for Generative AI in Medical Education. JMIR Medical Education 2024;10:e58370 View
  3. Pantanowitz J, Manko C, Pantanowitz L, Rashidi H. Synthetic Data and Its Utility in Pathology and Laboratory Medicine. Laboratory Investigation 2024;104(8):102095 View
  4. Aster A, Laupichler M, Rockwell-Kollmann T, Masala G, Bala E, Raupach T. ChatGPT and Other Large Language Models in Medical Education — Scoping Literature Review. Medical Science Educator 2024 View