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The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot Chain of Thought Prompting.
O'Hagan, Ross; Poplausky, Dina; Young, Jade N; Gulati, Nicholas; Levoska, Melissa; Ungar, Benjamin; Ungar, Jonathan.
Afiliación
  • O'Hagan R; Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Poplausky D; Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Young JN; Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Gulati N; Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Levoska M; Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Ungar B; Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Ungar J; Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
JMIR Dermatol ; 6: e49889, 2023 Dec 14.
Article en En | MEDLINE | ID: mdl-38096013
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: JMIR Dermatol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: JMIR Dermatol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos