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Comparison of Ophthalmologist and Large Language Model Chatbot Responses to Online Patient Eye Care Questions.
Bernstein, Isaac A; Zhang, Youchen Victor; Govil, Devendra; Majid, Iyad; Chang, Robert T; Sun, Yang; Shue, Ann; Chou, Jonathan C; Schehlein, Emily; Christopher, Karen L; Groth, Sylvia L; Ludwig, Cassie; Wang, Sophia Y.
Afiliación
  • Bernstein IA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
  • Zhang YV; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
  • Govil D; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
  • Majid I; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
  • Chang RT; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
  • Sun Y; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
  • Shue A; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
  • Chou JC; Department of Ophthalmology, Kaiser Permanente San Francisco, San Francisco, California.
  • Schehlein E; Brighton Vision Center, Brighton, Michigan.
  • Christopher KL; Department of Ophthalmology, University of Colorado School of Medicine, Aurora.
  • Groth SL; Department of Ophthalmology and Visual Sciences, Vanderbilt Eye Institute, Nashville, Tennessee.
  • Ludwig C; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
  • Wang SY; Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, California.
JAMA Netw Open ; 6(8): e2330320, 2023 08 01.
Article en En | MEDLINE | ID: mdl-37606922
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Oftalmólogos Tipo de estudio: Guideline / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Oftalmólogos Tipo de estudio: Guideline / Observational_studies / Prevalence_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article