Explainable AI in Medical Education: CerViD-MultiModal Framework Trial | NCT07743658

NCT07743658

Overview

NCT ID: NCT07743658
Lead Sponsor: University of LiberiaOTHER
Official Title: Explainable Artificial Intelligence (XAI) in Medical Education: A Multi-Modal Framework for Enhancing Human-AI Collaboration
Brief 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
Conditions: Medical Education
Interventions

Status and Timeline

Status: Completed
Last Update Posted: Aug 4, 2026Actual
Start Date: May 30, 2026Actual
Primary Completion Date: May 30, 2026Actual
Completion Date

Participation Criteria

Ages Eligible for Study: Adult (18-64)Older Adult (65+)
Sexes Eligible for Study: All
Accepts Healthy Volunteers?: Yes
Eligibility Criteria: Inclusion Criteria:

Enrolled as a third-year medical student in the clinical neuroscience rotation at the University of Liberia.

Willing and able to complete the 45-minute educational module and post-intervention evaluations.

Provided informed consent to participate in the study.

Exclusion Criteria:

Prior formal coursework, professional training, or specialized technical degree in artificial intelligence, machine learning, or computer science.

Inability to complete the post-intervention assessment.

Study Plan

Study Type: Interventional
Phase: Not Applicable
Enrollment: 120Actual
Primary Purpose: Health Services Research
Allocation: Randomized
Interventional Model: Parallel Assignment
Masking

Contacts and Locations

Central Contacts: No data available
Locations: University of Liberia Medical School

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