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Microsoft Co-pilot and ChatGPT-4o demonstrated the highest accuracy in answering oral radiology multiple-choice questions (MCQs). This study reveals significant AI performance variations, offering insights into AI chatbots for dental education.

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Area of Science:

  • Artificial Intelligence in Dentistry
  • Oral Radiology Education
  • Medical Education Technology

Background:

  • Artificial intelligence (AI) tools are increasingly integrated into medical education.
  • Assessing AI's accuracy and efficiency in domain-specific knowledge testing is crucial.
  • Oral radiology education requires precise and reliable assessment tools.

Purpose of the Study:

  • To evaluate the accuracy and response times of various AI chatbots.
  • To compare AI performance on multiple-choice questions (MCQs) in oral radiology.
  • To determine the suitability of AI tools for dental education.

Main Methods:

  • 80 oral radiology MCQs across 5 domains were used.
  • Accuracy and response times of ChatGPT, ChatGPT-4o, Microsoft Co-pilot, DeepSeek, Gemini, and Meta AI were assessed.
  • Chi-Square test and One-way ANOVA were employed for statistical analysis.

Main Results:

  • Microsoft Co-pilot and ChatGPT-4o exhibited the highest overall accuracy.
  • ChatGPT provided the fastest response times.
  • Microsoft Co-pilot excelled in knowledge-based questions and radiographic safety (100% accuracy); DeepSeek was superior for radiographic diagnosis.

Conclusions:

  • Microsoft Co-pilot demonstrated superior overall accuracy and performance in knowledge-based and radiographic safety questions.
  • ChatGPT-4o was the second most accurate, while DeepSeek showed strength in radiographic diagnosis.
  • AI chatbots exhibit performance variability, impacting their utility in dental education.