ABSTRACT This study aims to compare the accuracy of modern AI chatbots, including Gemini 1.5 Flash, Gemini 1.5 Pro, ChatGPT‐3.5 and ChatGPT‐4, in responding to endodontic questions and supporting clinicians. Forty yes/no questions covering 12 endodontic topics were formulated by three experts. Each question was presented to the AI models on the same day, with a new chat session initiated for each. The agreement between chatbot responses and expert consensus was assessed using Cohen's kappa test ( p < 0.05). ChatGPT‐3.5 demonstrated the highest accuracy (80%), followed by ChatGPT‐4 (77.5%), Gemini 1.5 Pro (72.5%) and Gemini 1.5 Flash (60%). The agreement levels ranged from weak (ChatGPT models) to minimal (Gemini Flash). The findings indicate variability in chatbot performance, with ChatGPT models outperforming Gemini. However, reliance on AI‐generated responses for clinical decision‐making remains questionable. Future studies should incorporate more complex clinical scenarios and broader analytical approaches to enhance the assessment of AI chatbots in endodontics.
Çakar et al. (2025) studied this question.