preprintmedRxivDec 20, 2022GREEN OA

Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models

Massachusetts General Hospital · Brown University · +2 more institutions

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Abstract

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, clinical decision-making.

Citation impact

617
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18
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Authors

12

Topics & keywords

Keywords
  • Concordance
  • United States Medical Licensing Examination
  • Computer science
  • Medical education
  • Artificial intelligence
  • Medical school
  • Medicine
  • Internal medicine
UN Sustainable Development Goals
  • Quality Education
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