ChatGPT-4o?s performance on pediatric Vesicoureteral reflux

dc.contributor.authorAkyol Önder, Esra Nagehan
dc.contributor.authorEnsari, Esra
dc.contributor.authorErtan, Pelin
dc.date.accessioned2025-02-28T07:29:50Z
dc.date.available2025-02-28T07:29:50Z
dc.date.issued2024
dc.departmentTıp Fakültesi
dc.description.abstractVesicoureteral reflux (VUR) is a common congenital or acquired urinary disorder in children. Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence-driven platform offering medical information. This research aims to assess the reliability and readability of ChatGPT-4o?s answers regarding pediatric VUR for general, non-medical audience. Materials and methods: Twenty of the most frequently asked English-language questions about VUR in children were used to evaluate ChatGPT-4o?s responses. Two independent reviewers rated the reliability and quality using the Global Quality Scale (GQS) and a modified version of the DISCERN tool. The readability of ChatGPT responses was assessed through the Flesch Reading Ease (FRE) Score, Flesch-Kincaid Grade Level (FKGL), Gunning Fog Index (GFI), Coleman-Liau Index (CLI), and Simple Measure of Gobbledygook (SMOG). Results: Median mDISCERN and GQS scores were 4 (4–5) and 5 (3–5), respectively. Most of the responses of ChatGPT have moderate (55 %) and good (45 %) reliability according to the mDISCERN score and high quality (95 %) according to GQS. The mean ± standard deviation scores for FRE, FKGL, SMOG, GFI, and CLI of the text were 26 ± 12, 15 ± 2.5, 16.3 ± 2, 18.8 ± 2.9, and 15.3 ± 2.2, respectively, indicating a high level of reading difficulty. Discussion: While ChatGPT-4o offers accurate and high-quality information about pediatric VUR, its readability poses challenges, as the content is difficult to understand for a general audience. Conclusion: ChatGPT provides high-quality, accessible information about VUR. However, improving readability should be a priority to make this information more user-friendly for a broader audience.
dc.identifier.doi10.1016/j.jpurol.2024.12.002
dc.identifier.issn1477-5131
dc.identifier.urihttps://dx.doi.org/10.1016/j.jpurol.2024.12.002
dc.identifier.urihttps://hdl.handle.net/20.500.12451/12980
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofJournal of Pediatric Urology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectArtificial Intelligence
dc.subjectChatGPT
dc.subjectVesicoureteral Reflux
dc.titleChatGPT-4o?s performance on pediatric Vesicoureteral reflux
dc.typeArticle

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