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Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines.

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Bibliographic Details
Title: Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines.
Authors: Liu, Siru1,2, McCoy, Allison B1, Wright, Adam1,3
Source: Journal of the American Medical Informatics Association; Apr2025, Vol. 32 Issue 4, p605-615, 11p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184631726
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Medical+Informatics+Association%22">Journal of the American Medical Informatics Association</searchLink>; Apr2025, Vol. 32 Issue 4, p605-615, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184631726
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/jamia/ocaf008
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 605
    Titles:
      – TitleFull: Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines.
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            NameFull: Liu, Siru
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            NameFull: McCoy, Allison B
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            NameFull: Wright, Adam
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 32
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