Mitigating the risk of health inequity exacerbated by large language models.

Detalles Bibliográficos
Publicado en:NPJ Digital Medicine Vol. 8; no. 1; pp. 1 - 12
Autores principales: Ji, Yuelyu, Ma, Wenhe, Sivarajkumar, Sonish, Zhang, Hang, Sadhu, Eugene M, Li, Zhuochun, Wu, Xizhi, Visweswaran, Shyam, Wang, Yanshan
Formato: research tables/charts Journal Article
Publicado: Springer Nature 5/3/2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Mitigating the risk of health inequity exacerbated by large language models.
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        au:
          Ji, Yuelyu
          Ma, Wenhe
          Sivarajkumar, Sonish
          Zhang, Hang
          Sadhu, Eugene M
          Li, Zhuochun
          Wu, Xizhi
          Visweswaran, Shyam
          Wang, Yanshan
        affil: https://ror.org/01an3r305 Department of Information Science, University of Pittsburgh, Pittsburgh, PA, USA
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        subj:
          Clinical Trials
          Research Subject Recruitment
          Decision Support Systems, Clinical
          Health Inequities
          Natural Language Processing
          Conceptual Framework
          Risk Management
          Sociodemographic Factors
          Human
          Funding Source
          Male
          Female
          Adult
          Middle Age
          Comparative Studies
          Descriptive Statistics
          Education, Medical
          Automation
          Translational Medical Research
          Equality
          Healthcare Disparities
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
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    language: English
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