Chatbot content analysis of patient information on orthodontic tooth extractions

Basit Öğe Kaydı
dc.authorid0000-0001-9477-6894
dc.contributor.authorGokmen, Sule
dc.contributor.authorYurdakurban, Ebru
dc.contributor.authorTopsakal, Kubra Gulnur
dc.contributor.authorDuran, Gokhan Serhat
dc.date.accessioned2026-02-03T12:02:41Z
dc.date.available2026-02-03T12:02:41Z
dc.date.issued2026
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractIntroduction: This study aims to evaluate the quality, accuracy, readability, and understandability of patient information provided by various Artificial intelligence (AI)-based chatbots regarding orthodontic tooth extractions Materials and methods: Two researchers created a list of questions for patients to ask the chatbots. The questions were categorized into 'Pre-extraction' and 'Post-extraction', with 20 questions in each category. Four different criteria were used to evaluate the chatbot responses to 40 questions: the Global Quality Scale (GQS), the Simple Measure of Gobbledygook (SMOG), and the Understandability and Accuracy Index. Jamovi (The Jamovi Project, 2022, version 2.3; Sydney, Australia) software was used for all statistical analyses. Results: The highest mean values were observed in Claude 3.5 sonnet for GQS, Readability, and Accuracy Index. In terms of readability, as measured by the SMOG index, all three AI-based chatbots required a college-level education for comprehension. In the 'Pre-extraction' and 'Post-extraction' sections, Claude 3.5 Sonnet demonstrated the highest mean values for the GQS, readability, and accuracy indices. In terms of Understandability subcriteria 1 and 2, statistically significant differences were observed among the three chatbots, primarily due to the variation between Gemini and Claude 3.5 Sonnet. Conclusion: AI-based chatbots with a variety of features have generally provided answers of high quality, reliability, and difficult readability to questions. Although the medical information related to orthodontic tooth extraction supplied by chatbots is of higher quality, it is recommended that individuals consult their healthcare professionals on this issue.
dc.identifier.doi10.1016/j.jormas.2025.102675
dc.identifier.issn2468-8509
dc.identifier.issn2468-7855
dc.identifier.issue3
dc.identifier.pmid41371607
dc.identifier.scopus2-s2.0-105024871688
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1016/j.jormas.2025.102675
dc.identifier.urihttps://hdl.handle.net/20.500.12428/34828
dc.identifier.volume127
dc.identifier.wosWOS:001643756400001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Stomatology Oral and Maxillofacial Surgery
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260130
dc.subjectArtificial intelligence
dc.subjectOrthodontic tooth extraction
dc.subjectChatbot
dc.titleChatbot content analysis of patient information on orthodontic tooth extractions
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu