Comparative Analysis of ChatGPT and Gemini in Addressing Questions from Chronic Kidney Disease Patients

Basit Öğe Kaydı
dc.contributor.authorBati Sutcu, Yasemin
dc.contributor.authorOzcan, Seyda Gul
dc.contributor.authorDincer, Mevlut Tamer
dc.contributor.authorAtli, Zeynep
dc.contributor.authorTrabulus, Sinan
dc.contributor.authorSeyahi, Nurhan
dc.date.accessioned2026-04-25T14:20:28Z
dc.date.available2026-04-25T14:20:28Z
dc.date.issued2026
dc.departmentSinop Üniversitesi
dc.description.abstractBackground: Chronic kidney disease (CKD) is a major global health burden. Patient education is a crucial part of CKD management. Large language models (LLMs) such as ChatGPT and Gemini may help patients access medical information, but their reliability in CKD-related contexts is uncertain. Methods: We collected 291 questions from 100 CKD patients and selected and analyzed 123 of them across three categories: medical condition and treatment, nutrition and diet, and symptom management. Responses from ChatGPT and Gemini were assessed by two nephrology specialists using the Quality Assessment of Medical Artificial Intelligence (QAMAI) scale. Results: When all 123 questions were evaluated together, ChatGPT outperformed Gemini in terms of clarity and usefulness. However, when the questions were analyzed by category, Gemini demonstrated relatively stronger performance in the nutrition and symptom management domains. Accuracy and relevance were comparable between the two models. Neither consistently provided adequate citations. Conclusion: ChatGPT and Gemini demonstrate potential as supplementary tools for CKD patient education, with complementary strengths across different domains. Although they cannot replace clinical expertise, their supervised use could enhance information access and reduce clinician burden.
dc.identifier.doi10.3390/kidneydial6010009
dc.identifier.issn2673-8236
dc.identifier.issue1
dc.identifier.scopus2-s2.0-105034311151
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3390/kidneydial6010009
dc.identifier.urihttps://hdl.handle.net/11486/8598
dc.identifier.volume6
dc.identifier.wosWOS:001726361100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofKidney and Dialysis
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20260420
dc.subjectchronic kidney disease
dc.subjectChatGPT
dc.subjectGemini
dc.subjectlarge language models
dc.subjectartificial intelligence
dc.titleComparative Analysis of ChatGPT and Gemini in Addressing Questions from Chronic Kidney Disease Patients
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu