A dataset and benchmark for hospital course summarization with adapted large language models.
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| Title: | A dataset and benchmark for hospital course summarization with adapted large language models. |
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| Authors: | Aali A; Department of Radiology, Stanford University, Stanford, CA 94304, United States.; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States., Van Veen D; Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Palo Alto, CA 94304, United States.; Department of Electrical Engineering, Stanford University, Stanford, CA 94304, United States., Arefeen YI; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States., Hom J; Department of Medicine, Stanford University, Stanford, CA 94304, United States., Bluethgen C; Department of Medicine, Stanford University, Stanford, CA 94304, United States.; University Hospital Zurich, Zurich 8091, Switzerland., Reis EP; Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Palo Alto, CA 94304, United States.; Albert Einstein Israelite Hospital, São Paulo 05652-900, Brazil., Gatidis S; Department of Radiology, Stanford University, Stanford, CA 94304, United States.; Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Palo Alto, CA 94304, United States., Clifford N; School of Nursing, The University of Texas at Austin, Austin, TX 78712, United States., Daws J; One Medical, San Francisco, CA 94111, United States., Tehrani AS; One Medical, San Francisco, CA 94111, United States., Kim J; Amazon, Seattle, WA 98109, United States., Chaudhari AS; Department of Radiology, Stanford University, Stanford, CA 94304, United States.; Center for Artificial Intelligence in Medicine and Imaging, Stanford University, Palo Alto, CA 94304, United States.; Department of Biomedical Data Science, Stanford University, Stanford, CA 94304, United States. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2025 Mar 01; Vol. 32 (3), pp. 470-479. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1527-974X |
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| DOI: | 10.1093/jamia/ocae312 |
