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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.
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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  Data: <searchLink fieldCode="AU" term="%22Aali+A%22">Aali A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Van+Veen+D%22">Van Veen D</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Arefeen+YI%22">Arefeen YI</searchLink>; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States.<br /><searchLink fieldCode="AU" term="%22Hom+J%22">Hom J</searchLink>; Department of Medicine, Stanford University, Stanford, CA 94304, United States.<br /><searchLink fieldCode="AU" term="%22Bluethgen+C%22">Bluethgen C</searchLink>; Department of Medicine, Stanford University, Stanford, CA 94304, United States.; University Hospital Zurich, Zurich 8091, Switzerland.<br /><searchLink fieldCode="AU" term="%22Reis+EP%22">Reis EP</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Gatidis+S%22">Gatidis S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Clifford+N%22">Clifford N</searchLink>; School of Nursing, The University of Texas at Austin, Austin, TX 78712, United States.<br /><searchLink fieldCode="AU" term="%22Daws+J%22">Daws J</searchLink>; One Medical, San Francisco, CA 94111, United States.<br /><searchLink fieldCode="AU" term="%22Tehrani+AS%22">Tehrani AS</searchLink>; One Medical, San Francisco, CA 94111, United States.<br /><searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Amazon, Seattle, WA 98109, United States.<br /><searchLink fieldCode="AU" term="%22Chaudhari+AS%22">Chaudhari AS</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%229430800%22">Journal of the American Medical Informatics Association : JAMIA</searchLink> [J Am Med Inform Assoc] 2025 Mar 01; Vol. 32 (3), pp. 470-479.
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        Value: 10.1093/jamia/ocae312
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              Text: 2025 Mar 01
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