A typology of physician input approaches to using AI chatbots for clinical decision-making.

Detalles Bibliográficos
Publicado en:NPJ Digital Medicine Vol. 9; pp. 1 - 8
Autores principales: Siden, Rachel, Kerman, Hannah, Gallo, Robert J., Cool, Joséphine A., Hom, Jason, Goh, Ethan, Ahuja, Neera, Heidenreich, Paul, Shieh, Lisa, Yang, Daniel, Chen, Jonathan H., Rodman, Adam, Holdsworth, Laura M.
Formato: research tables/charts Journal Article
Publicado: Springer Nature 1/6/2026
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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          Siden, Rachel
          Kerman, Hannah
          Gallo, Robert J.
          Cool, Joséphine A.
          Hom, Jason
          Goh, Ethan
          Ahuja, Neera
          Heidenreich, Paul
          Shieh, Lisa
          Yang, Daniel
          Chen, Jonathan H.
          Rodman, Adam
          Holdsworth, Laura M.
        affil: https://ror.org/00f54p054 Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
      sug:
        subj:
          Physicians Psychosocial Factors
          Physician Attitudes Evaluation
          Natural Language Processing
          Chatbot
          Decision Making, Clinical
          Task Performance and Analysis
          United States
          Human
          Female
          Male
          Models, Theoretical
          Comparative Studies
          Cognition
          Artificial Intelligence, Generative
          Clinical Reasoning
          Vignettes
          Qualitative Studies
          Descriptive Statistics
          Quantitative Studies
          Videoconferencing
          Semi-Structured Interview
          Data Analysis Software
          Funding Source
          Female
          Male
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
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    language: English
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