Performance of open-source large language models on nephrology self-assessment program.
- DOI
- 10.64898/2026.04.16.26348910
- Published
- 2026 Apr 16
- Container
- medRxiv : the preprint server for health sciences
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 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:10.64898/2026.04.16.26348910,
title = {Performance of open-source large language models on nephrology self-assessment program.},
author = {Ahangaran M and Jia S and Chitalia S and Athavale A and Francis JM and O'Donnell MW and Bavi SR and Gupta UD and Kolachalama VB},
year = {2026},
journal = {medRxiv : the preprint server for health sciences},
doi = {10.64898/2026.04.16.26348910},
url = {https://doi.org/10.64898/2026.04.16.26348910}
}RIS
TY - JOUR TI - Performance of open-source large language models on nephrology self-assessment program. AU - Ahangaran M AU - Jia S AU - Chitalia S AU - Athavale A AU - Francis JM AU - O'Donnell MW AU - Bavi SR AU - Gupta UD AU - Kolachalama VB PY - 2026 JO - medRxiv : the preprint server for health sciences DO - 10.64898/2026.04.16.26348910 UR - https://doi.org/10.64898/2026.04.16.26348910 ER -
APA
M, A., S, J., S, C., A, A., JM, F., MW, O., SR, B., UD, G., & VB, K. (2026). Performance of open-source large language models on nephrology self-assessment program.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.04.16.26348910
Source records
- pubmed · retrieved 2026-09-25T14:40:27.099Z