Showing 1 - 2 of 2 Research Library Publications

Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment

Posted: | Victoria Yaneva, Peter Baldwin, Daniel P. Jurich, Kimberly Swygert, Brian E. Clauser

Academic Medicine: Volume 99 - Issue 2 - p 192-197

 

This report investigates the potential of artificial intelligence (AI) agents, exemplified by ChatGPT, to perform on the United States Medical Licensing Examination (USMLE), following reports of its successful performance on sample items. 

Category:Product-Oriented Research, USMLE, Assessment-Oriented Research, Applications of Technology

Performance on the Nephrology In-Training Examination and ABIM Nephrology Certification Examination Outcomes

Posted: | D. Jurich, L. M. Duhigg, T. J. Plumb, S. A. Haist, J. L. Hawley, R. S. Lipner, L. Smith, S. M. Norby

CJASN May 2018, 13 (5) 710-717

 

Medical specialty and subspecialty fellowship programs administer subject-specific in-training examinations to provide feedback about level of medical knowledge to fellows preparing for subsequent board certification. This study evaluated the association between the American Society of Nephrology In-Training Examination and the American Board of Internal Medicine Nephrology Certification Examination in terms of scores and passing status.

Category:Assessment-Oriented Research, Reliability/Validity, Health Professions