Utility of a LangChain and OpenAI GPT-powered chatbot based on the international consensus statement on allergy and rhinology: Rhinosinusitis

Alan D Workman; Vinay K Rathi; David K Lerner; James N Palmer; Nithin D Adappa; Noam A Cohen

doi:10.1002/alr.23310

Utility of a LangChain and OpenAI GPT-powered chatbot based on the international consensus statement on allergy and rhinology: Rhinosinusitis

Int Forum Allergy Rhinol. 2023 Dec 18. doi: 10.1002/alr.23310. Online ahead of print.

Authors

Alan D Workman^{1

2}, Vinay K Rathi³, David K Lerner^{1

2}, James N Palmer^{1

2}, Nithin D Adappa^{1

2}, Noam A Cohen^{1

2

4}

Affiliations

¹ Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
² Division of Rhinology, Department of Otorhinolaryngology, Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
³ Division of Rhinology, Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of South Carolina, Charleston, South Carolina, USA.
⁴ Division of Otolaryngology, Head and Neck Surgery, Philadelphia Veterans Administration Medical Center, Philadelphia, Pennsylvania, USA.

PMID: 38109231
DOI: 10.1002/alr.23310

Abstract

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.

Keywords: ChatGPT; Chatbot; ICAR-RS; large language model.