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Assessment of Medically Relevant Ageism Inherent in Large Language Models.

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Title: Assessment of Medically Relevant Ageism Inherent in Large Language Models.
Authors: Seki T; Department of Healthcare Information Management, The University of Tokyo Hospital., Kawazoe Y; Department of Healthcare Information Management, The University of Tokyo Hospital.; Artificial Intelligence and Digital Twin in Healthcare, Graduate School of Medicine, The University of Tokyo., Ito H; Department of Healthcare Information Management, The University of Tokyo Hospital., Takiguchi T; Department of Healthcare Information Management, The University of Tokyo Hospital., Akagi Y; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo., Ebara M; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo., Ohe K; Department of Healthcare Information Management, The University of Tokyo Hospital.; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 603-607.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Seki+T%22">Seki T</searchLink>; Department of Healthcare Information Management, The University of Tokyo Hospital.<br /><searchLink fieldCode="AU" term="%22Kawazoe+Y%22">Kawazoe Y</searchLink>; Department of Healthcare Information Management, The University of Tokyo Hospital.; Artificial Intelligence and Digital Twin in Healthcare, Graduate School of Medicine, The University of Tokyo.<br /><searchLink fieldCode="AU" term="%22Ito+H%22">Ito H</searchLink>; Department of Healthcare Information Management, The University of Tokyo Hospital.<br /><searchLink fieldCode="AU" term="%22Takiguchi+T%22">Takiguchi T</searchLink>; Department of Healthcare Information Management, The University of Tokyo Hospital.<br /><searchLink fieldCode="AU" term="%22Akagi+Y%22">Akagi Y</searchLink>; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo.<br /><searchLink fieldCode="AU" term="%22Ebara+M%22">Ebara M</searchLink>; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo.<br /><searchLink fieldCode="AU" term="%22Ohe+K%22">Ohe K</searchLink>; Department of Healthcare Information Management, The University of Tokyo Hospital.; Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE
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        Value: 10.3233/SHTI250911
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              Text: 2025 Aug 07
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