CompletedNot Applicable

Explainable AI in Medical Education: CerViD-MultiModal Framework Trial

Liberia120 participantsStarted 2026-05-30

Plain-language 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

Who can participate

Age range

18 Years

Sex

ALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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.

Questions worth asking your doctor

Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.

1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?

Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.

Questions for the trial coordinator

The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.

1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?

A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.

What they're measuring

AI Literacy Score

Timeframe: Immediately post-intervention (Day 1)

System Usability Scale (SUS) Score

Timeframe: Immediately post-intervention (Day 1)

Trial details

NCT IDNCT07743658

SponsorUniversity of Liberia

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2026-05-30

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