Correction: How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

Aidan Gilson; Conrad W Safranek; Thomas Huang; Vimig Socrates; Ling Chi; Richard Andrew Taylor; David Chartash

doi:10.2196/57594

Correction: How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment

JMIR Med Educ. 2024 Feb 27:10:e57594. doi: 10.2196/57594.

Authors

Aidan Gilson^{1

2}, Conrad W Safranek¹, Thomas Huang², Vimig Socrates^{1

3}, Ling Chi¹, Richard Andrew Taylor^#^{1

2}, David Chartash^#^{1

4}

Affiliations

¹ Section for Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, United States.
² Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States.
³ Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States.
⁴ School of Medicine, University College Dublin, National University of Ireland, Dublin, Dublin, Ireland.

^# Contributed equally.

PMID: 38412478
PMCID: PMC10933712
DOI: 10.2196/57594

Abstract

[This corrects the article DOI: 10.2196/45312.].

©Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash. Originally published in JMIR Medical Education (https://mededu.jmir.org), 27.02.2024.

Publication types

Published Erratum