Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
Tiffany H. Kung,Morgan Cheatham,8 Authors,V. Tseng
TLDR
The performance of a large language model called ChatGPT on the USMLE, which consists of three exams, suggests that large language models may have the potential to assist with medical education, and potentially, even clinical decision-making.
Abstract
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. ChatGPT performed at or near the passing threshold for all three exams without any specialized training or reinforcement. Additionally, ChatGPT demonstrated a high level of concordance and insight in its explanations. These results suggest that large language models may have the potential to assist with medical education, and potentially, even clinical decision-making.