Are artificial intelligence based chatbots reliable sources for patients regarding orthodontics?


Haliloğlu Özkan T., Acar A. H., Özkan E., Düzyol M., Öztürk E. A.

APOS Trends in Orthodontics, vol.15, no.2, pp.141-146, 2025 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 2
  • Publication Date: 2025
  • Doi Number: 10.25259/apos_203_2024
  • Journal Name: APOS Trends in Orthodontics
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.141-146
  • Keywords: Artificial intelligence, Chatbot, Orthodontics
  • Marmara University Affiliated: Yes

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, Microsoft Copilot, and Google Gemini. 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.