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

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 reinforce...

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Detalles Bibliográficos
Autores principales: Kung, Tiffany H., Cheatham, Morgan, Medenilla, Arielle, Sillos, Czarina, De Leon, Lorie, Elepaño, Camille, Madriaga, Maria, Aggabao, Rimel, Diaz-Candido, Giezel, Maningo, James, Tseng, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931230/
https://www.ncbi.nlm.nih.gov/pubmed/36812645
http://dx.doi.org/10.1371/journal.pdig.0000198
Descripción
Sumario: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.