Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and Step 3. Additionally, ChatGPT demonstrated a high level of concordance and insight in its explanations.

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• 1 ChatGPT performed at or near the passing threshold for all three exams without any specialized training or reinforcement.
• 2 Additionally, ChatGPT demonstrated a high level of concordance and insight in its explanations.
• 3 These results suggest that large language models may have the potential to assist with medical education, and potentially, clinical decision-making.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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