medRxiv · 2022 · 617 citations · 13 references
ComputingComputer ScienceMedical EducationArtificial IntelligenceClinical Decision SupportNatural Language ProcessingClinical Natural Language ProcessingLanguage ModelingMedical Education ApplicationsNatural Language Processing In EducationClinical Decision Making EducationClinical Language ModelsLarge Language ModelsMedical LicensingMedical Training
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.
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