Are artificial intelligence based chatbots reliable sources for patients regarding orthodontics?
| dc.contributor.author | Ozkan, Tugba Haliloglu | |
| dc.contributor.author | Acar, Ahmet Huseyin | |
| dc.contributor.author | Ozkan, Enes | |
| dc.contributor.author | Duzyol, Mustafa | |
| dc.contributor.author | Ozturk, Elif Aybuke | |
| dc.date.accessioned | 2025-11-16T19:34:38Z | |
| dc.date.issued | 2025 | |
| dc.department | İstanbul Medeniyet Üniversitesi | |
| dc.description.abstract | Objectives: The objective of this study was to conduct a comprehensive and patient-centered evaluation of chatbot responses within the field of orthodontics, comparing three prominent chatbot platforms: ChatGPT-4, Material and Methods: Twenty orthodontic-related queries were presented to ChatGPT-4, Microsoft Copilot, and Google Gemini by ten orthodontic experts. To assess the accuracy and completeness of responses, a Likert scale (LS) was employed, while the clarity of responses was evaluated using a Global Quality Scale (GQS). Statistical analyses included One-way analysis of variance and post-hoc Tukey tests to assess the data, and a Pearson correlation test was used to determine the relationship between variables. Results: The results indicated that ChatGPT-4 (1.69 +/- 0.10) and Microsoft Copilot (1.68 +/- 0.10) achieved significantly higher LS scores compared to Google Gemini (2.27 +/- 0.53) (P < 0.05). However, the GQS scores, which were 4.01 +/- 0.31 for ChatGPT-4, 3.92 +/- 0.60 for Google Gemini, and 4.09 +/- 0.15 for Microsoft Copilot, showed no significant differences among the three chatbots (P > 0.05). Conclusion: While these chatbots generally handle basic orthodontic queries well, they show significant differences in responses to complex scenarios. ChatGPT-4 and Microsoft Copilot outperform Google Gemini in accurately addressing scenario-based questions, highlighting the importance of strong language comprehension, knowledge access, and advanced algorithms. This underscores the need for continued improvements in chatbot technology. | |
| dc.identifier.doi | 10.25259/APOS_203_2024 | |
| dc.identifier.endpage | 146 | |
| dc.identifier.issn | 2321-4600 | |
| dc.identifier.issn | 2321-1407 | |
| dc.identifier.issue | 2 | |
| dc.identifier.scopus | 2-s2.0-105007183053 | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 141 | |
| dc.identifier.uri | https://doi.org/10.25259/APOS_203_2024 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14730/15413 | |
| dc.identifier.volume | 15 | |
| dc.identifier.wos | WOS:001504607800004 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Scientific Scholar Llc | |
| dc.relation.ispartof | Apos Trends In Orthodontics | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WOS_20250302 | |
| dc.subject | Artificial intelligence | |
| dc.subject | Chatbot | |
| dc.subject | Orthodontics | |
| dc.title | Are artificial intelligence based chatbots reliable sources for patients regarding orthodontics? | |
| dc.type | Article |










