Expert evaluation of ChatGPT accuracy and reliability for basic celiac disease frequently asked questions

Abstract

Artificial Intelligence's (AI) role in providing information on Celiac Disease (CD) remains understudied. This study aimed to evaluate the accuracy and reliability of ChatGPT-3.5 in generating responses to 20 basic CD-related queries. This study assessed ChatGPT-3.5, the dominant publicly accessible version during the study period, to establish a benchmark for AI-assisted CD education. The accuracy of ChatGPT's responses to twenty frequently asked questions (FAQs) was assessed by two independent experts using a Likert scale, followed by categorization based on CD management domains. Inter-rater reliability (agreement between experts) was determined through cross-tabulation, Cohen's kappa, and Wilcoxon signed-rank tests. Intra-rater reliability (agreement within the same expert) was evaluated using the Friedman test with post hoc comparisons. ChatGPT demonstrated high accuracy in responding to CD FAQs, with expert ratings predominantly ranging from 4 to 5. While overall performance was strong, responses to management strategies excelled compared to those related to disease etiology. Inter-rater reliability analysis revealed moderate agreement between the two experts in evaluating ChatGPT's responses (κ = 0.22, p-value = 0.026). Although both experts consistently assigned high scores across different CD management categories, subtle discrepancies emerged in specific instances. Intra-rater reliability analysis indicated high consistency in scoring for one expert (F_{riedman test}=0.113), while the other exhibited some variability (F_{riedman test}<0.001). ChatGPT exhibits potential as a reliable source of information for CD patients, particularly in the domain of disease management.

Ähnliche Arbeiten