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

Public Library of Science (PLoS) - Tập 2 Số 2 - Trang e0000198
Tiffany H. Kung1,2, Morgan Cheatham3,4, Arielle Medenilla1, Czarina Sillos1, Lorie De Leon1, Camille Elepaño1, Maria Madriaga1, Rimel Aggabao1, Giezel Diaz-Candido1, James Maningo1, Victor Tseng1,5
1AnsibleHealth, Inc Mountain View, California, United States of America
2Department of Anesthesiology, Massachusetts General Hospital, Harvard School of Medicine Boston, Massachusetts, United States of America
3Brown University Providence, Rhode Island, United States of America
4Warren Alpert Medical School
5Department of Medical Education, UWorld, LLC Dallas, Texas, United States of America

Tóm tắt

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.

Từ khóa


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