The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum
Open accessPublished version of a preprint
Abstract
Using large language models, we developed a method to efficiently query existing flashcard libraries and select those most relevant to an individual's medical school curricula.
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“AI and LLMs can assist students in efficiently utilizing flashcards from existing libraries, such as Anki [153].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [153]
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Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023) · JMIR Medical Education · doi:10.2196/45312 · Cited by 2,078
Comparison Between ChatGPT and Google Search as Sources of Postoperative Patient Instructions
Ayoub, N., Lee, Y.-J., Grimm, D. R., & Balakrishnan, K. (2023) · JAMA Otolaryngology–Head & Neck Surgery · doi:10.1001/jamaoto.2023.0704 · Cited by 98
Jape, D., Zhou, J., & Bullock, S. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03324-8 · Cited by 74
The Self-directed Medical Student Curriculum
Wu, J. H., Gruppuso, P. A., & Adashi, E. Y. (2021) · JAMA · doi:10.1001/jama.2021.16312 · Cited by 59
Wothe, J. K., Wanberg, L. J., Hohle, R. D., et al. (2023) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205231173289 · Cited by 28
Rana, T., Laoteppitaks, C., Zhang, G., et al. (2020) · The FASEB Journal · doi:10.1096/fasebj.2020.34.s1.09736 · Cited by 9
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Artificial intelligence in undergraduate medical education: an updated scoping review
Simoni, J., Urtubia-Fernandez, J., Mengual, E., Simoni, D. A., Royo, M., Egaña-Yin, D., Hertog, O. L. A., López-Ortiz, L., Muñoz-Tomás, A., Santiago-Martínez, P., et al. (2025) · BMC Medical Education · doi:10.1186/s12909-025-08188-2 · Cited by 62
Metadata
- Authors
- Pendergrast, T., & Chalmers, Z.
- Affiliations
- University of Michigan (US)
- Northwestern University (US)
- Corresponding author
- Chalmers, Zachary
- Venue
- JMIR Medical Education
- Publisher
- JMIR Publications Inc.
- Published
- 2023-09-20
- Volume
- 9
- Pages
- e48780
- ISSN
- 2369-3762 (ISSN-L)
- PMC
- PMC10551781
- OpenAlex
- W4385967155
- Cited by
- 18
- References
- 6
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 5
- FWCI
- 0.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Medical Education (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Innovations in Medical Education
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- Anki, flashcards, large language models, preclinical curriculum, medical education, generative AI, personalized learning, spaced repetition
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- Pendergrast, T., & Chalmers, Z. (2023). Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum. JMIR Medical Education. https://doi.org/10.2196/48780
