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Explainable AI in Medical Education: CerViD-MultiModal Framework Trial
Sponsor: University of Liberia
Summary
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
Official title: Explainable Artificial Intelligence (XAI) in Medical Education: A Multi-Modal Framework for Enhancing Human-AI Collaboration
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
120
Start Date
2026-05-30
Completion Date
2026-06-15
Last Updated
2026-08-04
Healthy Volunteers
Yes
Conditions
Interventions
Traditional AI Lecture Module
Standard educational instruction delivered via traditional slides and static charts explaining neuroimaging AI outputs.
XAI-Enhanced Interactive Module (CerViD-MultiModal)
Standard educational instruction delivered via traditional slides and static charts explaining neuroimaging AI outputs.
Locations (1)
University of Liberia Medical School
Monrovia, Montserrado County, Liberia