GPT-4 accuracy and completeness against International Consensus Statement on Allergy and Rhinology: Rhinosinusitis

Yuki Yoshiyasu, Franklin Wu, Aatin K. Dhanda, Daniel Gorelik, Masayoshi Takashima, Omar G. Ahmed

Research output: Contribution to journalComment/debatepeer-review

4 Scopus citations

Abstract

GPT-4 is an AI language model that can answer basic questions about rhinologic disease. Vetting is needed before AI models can be safely integrated into otolarygologic patient care.

Original languageEnglish (US)
Pages (from-to)2231-2234
Number of pages4
JournalInternational Forum of Allergy and Rhinology
Volume13
Issue number12
Early online dateJun 1 2023
DOIs
StatePublished - Dec 2023

Keywords

  • Large language model (LLM)
  • chronic rhinosinusitis
  • rhinosinusitis
  • sinusitis
  • Humans
  • Hypersensitivity
  • Chronic Disease
  • Sinusitis/diagnosis
  • Consensus
  • Rhinitis/diagnosis

ASJC Scopus subject areas

  • Immunology and Allergy
  • Otorhinolaryngology

Fingerprint

Dive into the research topics of 'GPT-4 accuracy and completeness against International Consensus Statement on Allergy and Rhinology: Rhinosinusitis'. Together they form a unique fingerprint.

Cite this