Artificial intelligence teaching assistants: a scalable solution for supporting struggling medical students.
- DOI
- 10.1093/acamed/wvag208
- Published
- 2026 Oct 1
- Container
- Academic medicine : journal of the Association of American Medical Colleges
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1093/acamed/wvag208,
title = {Artificial intelligence teaching assistants: a scalable solution for supporting struggling medical students.},
author = {Sami A and Adkins M and McLeod A and Leung FH and Gilchrist C},
year = {2026},
journal = {Academic medicine : journal of the Association of American Medical Colleges},
doi = {10.1093/acamed/wvag208},
url = {https://doi.org/10.1093/acamed/wvag208}
}RIS
TY - JOUR TI - Artificial intelligence teaching assistants: a scalable solution for supporting struggling medical students. AU - Sami A AU - Adkins M AU - McLeod A AU - Leung FH AU - Gilchrist C PY - 2026 JO - Academic medicine : journal of the Association of American Medical Colleges DO - 10.1093/acamed/wvag208 UR - https://doi.org/10.1093/acamed/wvag208 ER -
APA
A, S., M, A., A, M., FH, L., & C, G. (2026). Artificial intelligence teaching assistants: a scalable solution for supporting struggling medical students.. Academic medicine : journal of the Association of American Medical Colleges. https://doi.org/10.1093/acamed/wvag208
Source records
- pubmed · retrieved 2026-09-26T03:11:22.542Z