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Peer-reviewedLicence not statedNature Biomedical Engineering

BRIDGE: benchmarking large language models for understanding real-world clinical practice texts

  • Jiageng Wu1
  • Bowen Gu1
  • Ren Zhou2
  • Kevin Xie3
  • Doug Snyder4,5
  • Yixing Jiang6
  • Valentina Carducci5
  • Richard Wyss1
  • Rishi J. Desai1
  • Emily Alsentzer6
  • Leo Anthony Celi4,7,8
  • Adam M. Rodman9
5 more authors
  • Sebastian Schneeweiß1
  • Jonathan H. Chen10,11,12
  • Santiago Romero Brufau4,5
  • Kueiyu Joshua Lin13
  • Jie Yang14,15,16,17
17 affiliations
  1. 1Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
  2. 2Siebel School of Computing and Data Science, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
  3. 3Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
  4. 4Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
  5. 5Department of Otorhinolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, MN, USA
  6. 6Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA
  7. 7Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
  8. 8Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA
  9. 9Division of General Internal Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
  10. 10Clinical Excellence Research Center, Stanford University, Stanford, CA, USA
  11. 11Division of Hospital Medicine, Stanford University, Stanford, CA, USA
  12. 12Stanford Division of Computational Medicine, Stanford University, Stanford, CA, USA
  13. 13Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. [email protected]
  14. 14Broad Institute of MIT and Harvard, Cambridge, MA, USA. [email protected]
  15. 15Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. [email protected]
  16. 16Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA. [email protected]
  17. 17Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, MA, USA. [email protected]
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Cite

BibTeXRIS
BibTeX
@article{wu2026bridge,
  title = {{BRIDGE: benchmarking large language models for understanding real-world clinical practice texts}},
  author = {Jiageng Wu and Bowen Gu and Ren Zhou and Kevin Xie and Doug Snyder and Yixing Jiang and Valentina Carducci and Richard Wyss and Rishi J. Desai and Emily Alsentzer and Leo Anthony Celi and Adam M. Rodman and Sebastian Schneeweiß and Jonathan H. Chen and Santiago Romero Brufau and Kueiyu Joshua Lin and Jie Yang},
  journal = {Nature Biomedical Engineering},
  year = {2026},
  month = jun,
  doi = {10.1038/s41551-026-01719-2},
  url = {http://arxiv.org/abs/2504.19467},
}
RIS
TY  - JOUR
TI  - BRIDGE: benchmarking large language models for understanding real-world clinical practice texts
AU  - Jiageng Wu
AU  - Bowen Gu
AU  - Ren Zhou
AU  - Kevin Xie
AU  - Doug Snyder
AU  - Yixing Jiang
AU  - Valentina Carducci
AU  - Richard Wyss
AU  - Rishi J. Desai
AU  - Emily Alsentzer
AU  - Leo Anthony Celi
AU  - Adam M. Rodman
AU  - Sebastian Schneeweiß
AU  - Jonathan H. Chen
AU  - Santiago Romero Brufau
AU  - Kueiyu Joshua Lin
AU  - Jie Yang
PY  - 2026
DA  - 2026/06/17
JO  - Nature Biomedical Engineering
DO  - 10.1038/s41551-026-01719-2
UR  - http://arxiv.org/abs/2504.19467
SN  - 2157-846X
ER  -