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Assessing the quality of artificial intelligence-generated patient counseling for rhinosinusitis.
Hill, Gregory S; Fischer, Jakob L; Watson, Nora L; Riley, Charles A; Tolisano, Anthony M.
Affiliation
  • Hill GS; Department of Otolaryngology-Head & Neck Surgery, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
  • Fischer JL; Department of Otolaryngology-Head & Neck Surgery, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
  • Watson NL; Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
  • Riley CA; Department of Research, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
  • Tolisano AM; Department of Otolaryngology-Head & Neck Surgery, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
Int Forum Allergy Rhinol ; 2024 Jun 18.
Article in En | MEDLINE | ID: mdl-38894617
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Int Forum Allergy Rhinol Year: 2024 Document type: Article Affiliation country:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Int Forum Allergy Rhinol Year: 2024 Document type: Article Affiliation country: