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Utility of a LangChain and OpenAI GPT-powered chatbot based on the international consensus statement on allergy and rhinology: Rhinosinusitis.
Workman, Alan D; Rathi, Vinay K; Lerner, David K; Palmer, James N; Adappa, Nithin D; Cohen, Noam A.
Afiliação
  • Workman AD; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Rathi VK; Division of Rhinology, Department of Otorhinolaryngology, Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Lerner DK; Division of Rhinology, Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
  • Palmer JN; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Adappa ND; Division of Rhinology, Department of Otorhinolaryngology, Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Cohen NA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Int Forum Allergy Rhinol ; 14(6): 1101-1109, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38109231
ABSTRACT
KEY POINTS We created a LangChain/OpenAI API-powered chatbot based solely on International Consensus Statement of Allergy and Rhinology Rhinosinusitis (ICAR-RS). The ICAR-RS chatbot is able to provide direct and actionable recommendations. Utilization of consensus statements provides an opportunity for AI applications in healthcare.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sinusite / Rinite / Consenso Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sinusite / Rinite / Consenso Idioma: En Ano de publicação: 2024 Tipo de documento: Article