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

doi:10.1002/alr.23387

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

Int Forum Allergy Rhinol. 2024 Oct;14(10):1634-1637. doi: 10.1002/alr.23387. Epub 2024 Jun 18.

Authors

Gregory S Hill¹, Jakob L Fischer^{1

2}, Nora L Watson³, Charles A Riley^{1

2}, Anthony M Tolisano^{1

2}

Affiliations

¹ Department of Otolaryngology-Head & Neck Surgery, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
² Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
³ Department of Research, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.

PMID: 38894617
DOI: 10.1002/alr.23387

Abstract

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.

Keywords: chronic rhinosinustis; health care economics; rhinology workforce; sinus surgery; sinusitis.

MeSH terms

Artificial Intelligence*
Counseling
Humans
Rhinitis* / diagnosis
Rhinitis* / therapy
Rhinosinusitis
Sinusitis* / diagnosis
Sinusitis* / therapy
Surveys and Questionnaires