AI-generated questions for urological competency assessment: a prospective educational study.
Journal:
BMC medical education
PMID:
40281621
Abstract
BACKGROUND: The integration of artificial intelligence (AI) in medical education assessment remains largely unexplored, particularly in specialty-specific evaluations during clinical rotations. Traditional question development methods are time-intensive and often struggle to keep pace with evolving medical knowledge. This study evaluated the effectiveness of AI-generated questions in assessing urological competency among medical interns during a standardized clinical rotation.