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The use of large language models in medicine: proceeding with caution.
Deng, Jiawen; Zubair, Areeba; Park, Ye-Jean; Affan, Eesha; Zuo, Qi Kang.
Afiliação
  • Deng J; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Zubair A; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Park YJ; Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Affan E; Faculty of Science, Carleton University, Ottawa, ON, Canada.
  • Zuo QK; UBC Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Curr Med Res Opin ; 40(2): 151-153, 2024 02.
Article em En | MEDLINE | ID: mdl-38093584
ABSTRACT
Large language models, like ChatGPT and Bard, have potential clinical applications due to their ability to generate conversational responses and encode medical knowledge. However, their clinical adoption faces challenges including hallucinations, lack of transparency, and lack of consistency. Ethicolegal concerns surrounding patient consent, legal liability, and data privacy further complicate matters. Despite their promise, an optimistic but cautious approach is essential for the safe integration of large language models into clinical settings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Idioma / Medicina Limite: Humans Idioma: En Revista: Curr Med Res Opin Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Idioma / Medicina Limite: Humans Idioma: En Revista: Curr Med Res Opin Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá