Artificial intelligence and allergic rhinitis: does ChatGPT increase or impair the knowledge?

Simon Høj, Simon F Thomsen, Hanieh Meteran, Torben Sigsgaard, Howraman Meteran

6 Citationer (Scopus)

Abstract

BACKGROUND: Optimal management of allergic rhinitis requires patient education with easy access to accurate information. However, previous online platforms have provided misleading information. The demand for online medical information continues to grow, especially with the introduction of advanced chatbots like ChatGPT.

METHODS: This study aimed to evaluate the quality of information provided by ChatGPT regarding allergic rhinitis. A Likert scale was used to assess the accuracy of responses, ranging from 1 to 5. Four authors independently rated the responses from a healthcare professional's perspective.

RESULTS: A total of 20 questions covering various aspects of allergic rhinitis were asked. Among the answers, eight received a score of 5 (no inaccuracies), five received a score of 4 (minor non-harmful inaccuracies), six received a score of 3 (potentially misinterpretable inaccuracies) and one answer had a score of 2 (minor potentially harmful inaccuracies).

CONCLUSIONS: The variability in accuracy scores highlights the need for caution when relying solely on chatbots like ChatGPT for medical advice. Patients should consult qualified healthcare professionals and use online sources as a supplement. While ChatGPT has advantages in medical information delivery, its use should be approached with caution. ChatGPT can be useful for patient education but cannot replace healthcare professionals.

OriginalsprogEngelsk
TidsskriftJournal of Public Health
Vol/bind46
Udgave nummer1
Sider (fra-til)123-126
Antal sider4
ISSN1741-3842
DOI
StatusUdgivet - 1 mar. 2024

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