Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
- DOI
- 10.1371/journal.pdig.0000198
- Published
- 2023-02-09
- Container
- PLOS Digital Health
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pdig.0000198,
title = {Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models},
author = {Tiffany H. Kung and Morgan Cheatham and Arielle Medenilla and Czarina Sillos and Lorie De Leon and Camille Elepaño and Maria Madriaga and Rimel Aggabao and Giezel Diaz-Candido and James Maningo and Victor Tseng},
year = {2023},
journal = {PLOS Digital Health},
doi = {10.1371/journal.pdig.0000198},
url = {https://doi.org/10.1371/journal.pdig.0000198}
}RIS
TY - JOUR TI - Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models AU - Tiffany H. Kung AU - Morgan Cheatham AU - Arielle Medenilla AU - Czarina Sillos AU - Lorie De Leon AU - Camille Elepaño AU - Maria Madriaga AU - Rimel Aggabao AU - Giezel Diaz-Candido AU - James Maningo AU - Victor Tseng PY - 2023 JO - PLOS Digital Health DO - 10.1371/journal.pdig.0000198 UR - https://doi.org/10.1371/journal.pdig.0000198 ER -
APA
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., Leon, L. D., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., & Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health. https://doi.org/10.1371/journal.pdig.0000198
Source records
- crossref · retrieved 2026-11-10T08:14:23.152Z