BRIDGE: benchmarking large language models for understanding real-world clinical practice texts.
- DOI
- 10.1038/s41551-026-01719-2
- Published
- 2026 Jun 17
- Container
- Nature biomedical engineering
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1038/s41551-026-01719-2,
title = {BRIDGE: benchmarking large language models for understanding real-world clinical practice texts.},
author = {Wu J and Gu B and Zhou R and Xie K and Snyder D and Jiang Y and Carducci V and Wyss R and Desai RJ and Alsentzer E and Celi LA and Rodman A and Schneeweiss S and Chen JH and Romero-Brufau S and Lin KJ and Yang J},
year = {2026},
journal = {Nature biomedical engineering},
doi = {10.1038/s41551-026-01719-2},
url = {https://doi.org/10.1038/s41551-026-01719-2}
}RIS
TY - JOUR TI - BRIDGE: benchmarking large language models for understanding real-world clinical practice texts. AU - Wu J AU - Gu B AU - Zhou R AU - Xie K AU - Snyder D AU - Jiang Y AU - Carducci V AU - Wyss R AU - Desai RJ AU - Alsentzer E AU - Celi LA AU - Rodman A AU - Schneeweiss S AU - Chen JH AU - Romero-Brufau S AU - Lin KJ AU - Yang J PY - 2026 JO - Nature biomedical engineering DO - 10.1038/s41551-026-01719-2 UR - https://doi.org/10.1038/s41551-026-01719-2 ER -
APA
J, W., B, G., R, Z., K, X., D, S., Y, J., V, C., R, W., RJ, D., E, A., LA, C., A, R., S, S., JH, C., S, R., KJ, L., & J, Y. (2026). BRIDGE: benchmarking large language models for understanding real-world clinical practice texts.. Nature biomedical engineering. https://doi.org/10.1038/s41551-026-01719-2
Source records
- pubmed · retrieved 2026-09-26T04:49:53.152Z
- europe-pmc · retrieved 2026-09-26T04:49:53.168Z