Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education.

Yang H, Hu M, Most A, Hawkins WA, Murray B, Smith SE, Li S, Sikora A

DOI: 10.3389/frai.2024.1514896
Published: 2024
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2024.1514896,
  title = {Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education.},
  author = {Yang H and Hu M and Most A and Hawkins WA and Murray B and Smith SE and Li S and Sikora A},
  year = {2024},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2024.1514896},
  url = {https://doi.org/10.3389/frai.2024.1514896}
}

RIS

TY  - JOUR
TI  - Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education.
AU  - Yang H
AU  - Hu M
AU  - Most A
AU  - Hawkins WA
AU  - Murray B
AU  - Smith SE
AU  - Li S
AU  - Sikora A
PY  - 2024
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2024.1514896
UR  - https://doi.org/10.3389/frai.2024.1514896
ER  -

APA

H, Y., M, H., A, M., WA, H., B, M., SE, S., S, L., & A, S. (2024). Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2024.1514896

Source records

pubmed · retrieved 2026-09-26T15:16:21.389Z