A Comprehensive Evaluation of GenAI-based Items in a Medical Examination

Yanlin Jiang, Marcus Walker, Andrew Dallas, Aquia Richburg, Nikole Gregg, Brittany Corrigan


Abstract
This study evaluated GenAI-based medical assessment items against SME-developed items. Analyses of item content and response data from a high-stakes examination showed that their content quality and psychometric characteristics are comparable. These findings empirically support the quality of GenAI-based items and their potential use in educational and professional assessment programs.
Anthology ID:
2026.aimecon-wip.35
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
Month:
October
Year:
2026
Address:
Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:
Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:
AIME-Con
SIG:
Publisher:
National Council on Measurement in Education (NCME)
Note:
Pages:
275–281
Language:
URL:
https://aclanthology.org/2026.aimecon-wip.35/
DOI:
Bibkey:
Cite (ACL):
Yanlin Jiang, Marcus Walker, Andrew Dallas, Aquia Richburg, Nikole Gregg, and Brittany Corrigan. 2026. A Comprehensive Evaluation of GenAI-based Items in a Medical Examination. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 275–281, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
A Comprehensive Evaluation of GenAI-based Items in a Medical Examination (Jiang et al., AIME-Con 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.aimecon-wip.35.pdf