Explainable AI in Medical Education: CerViD-MultiModal Framework Trial

This study evaluates whether Explainable Artificial Intelligence (XAI) explanations integrated into medical training improve AI literacy, reduce cognitive workload, and enhance learner trust compared to traditional lecture methods. Third-year medical students participated in a randomized controlled trial assessing the CerViD-MultiModal diagnostic framework during a neuroimaging diagnostic module focused on fornix atrophy in early and late mild cognitive impairment

NCT Number	NCT07743658
Lead Sponsor	University of Liberia Collaborators: National Institute on Aging (NIA)
Conditions	Medical Education
Enrollment	120 participants
Start Date	2026-05-30
Primary Completion	2026-05-30 (estimated)
Study Completion	2026-06-15 (estimated)
Updated on ClinicalTrials.gov	2026-08-04