Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
Tiffany H. KungAnsibleHealth, Inc Mountain View, California, United States of AmericaMorgan CheathamWarren Alpert Medical School; Brown University Providence, Rhode Island, United States of AmericaArielle MedenillaCzarina SillosLorie De LeonCamille ElepañoMaria MadriagaRimel AggabaoGiezel Diaz-CandidoJames ManingoVictor Tseng
2023en
ABI
Аннотация
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, clinical decision-making.
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