Comparative performance of ChatGPT, Gemini, and final-year emergency medicine clerkship students in answering multiple-choice questions: implications for the use of AI in medical education

Abstract

This proof-of-concept study demonstrates that while AI shows promise as a supplementary educational tool, it cannot yet replace traditional training methods-particularly in domains requiring visual interpretation and clinical reasoning. ChatGPT' s strong performance on text-based questions highlights its utility, but its limitations in image-based tasks emphasize the need for improvement. Gemini's lower accuracy further highlights the challenges current AI models face in processing visually complex medical content. Future research should focus on enhancing AI's multimodal capabilities to improve its applicability in medical education and assessment.

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