Assessing the quality of artificial intelligence–generated patient counseling for rhinosinusitis

Gregory S. Hill, Jakob L. Fischer, Nora L. Watson, Charles A. Riley, Anthony M. Tolisano*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Key points: GPT-4 generated moderate quality information in response to questions regarding sinusitis and surgery. GPT-4 generated significantly higher quality responses to questions regarding treatment of sinusitis. Future studies exploring quality of GPT responses should seek to limit bias and use validated instruments.

Original languageEnglish
Pages (from-to)1634-1637
Number of pages4
JournalInternational Forum of Allergy and Rhinology
Volume14
Issue number10
DOIs
StatePublished - Oct 2024
Externally publishedYes

Keywords

  • chronic rhinosinustis
  • health care economics
  • rhinology workforce
  • sinus surgery
  • sinusitis

Fingerprint

Dive into the research topics of 'Assessing the quality of artificial intelligence–generated patient counseling for rhinosinusitis'. Together they form a unique fingerprint.

Cite this