Artificial intelligence-powered chatbots, whose use is becoming increasingly widespread, are frequently used in medicine and dentistry for tasks such as generating academic texts, student education, clinical diagnosis, and patient information. Given their inherent limitations, the accuracy of chatbot responses in the healthcare field is a crucial issue. Evaluating the performance of artificial intelligence in national examinations can provide objective data regarding its use as an educational support tool. This study aims to comparatively evaluate the performance of various artificial intelligence chatbots on questions from the pediatric dentistry section of the DUS (Dental Specialization Exam). A total of 127 questions asked in the DUS in the field of pediatric dentistry between 2012 and 2021 were included in the study. The questions were divided into nine subject-area categories, two exam years, and two question types: clinical case-based and theoretical knowledge-based. The ChatGPT-5, ChatGPT-4o, Gemini 2.5 Pro, Gemini 2.5 Flash, Claude Opus 4, and Claude Sonnet 4 models were evaluated in the study. Descriptive data are presented as numbers and percentages. Statistical analyses were performed using Cochran’s Q test ( p 0.05). This study demonstrates that chatbots perform well at answering exam questions in pediatric dentistry and may serve aspromising supplementary educational tool.
Sena Sakın Ulubay (Tue,) studied this question.