Teaching AI to doctors: a new way to build trust?
NCT ID NCT07743658
First seen Aug 04, 2026 · Last updated Aug 05, 2026 · Updated 1 time
Summary
This trial tests whether teaching medical students with explainable AI (XAI) tools improves their understanding and trust in AI compared to traditional lectures. Third-year medical students will use an interactive module that explains AI decisions in brain imaging, then complete assessments. The goal is to see if this approach reduces cognitive workload and boosts AI literacy.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- XAI-Enhanced Interactive Module (CerViD-MultiModal) with SHAP and LIME explanations
- What this could lead to
- If effective, this approach could reshape how medical students learn to work with AI, fostering better human-AI collaboration in diagnostics.
- What could go wrong
- This is a small, single-center study with 120 students, so results may not generalize. The intervention is educational, so benefits may be limited to learning outcomes rather than direct patient care.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Not a phased trial
Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.
- Participants
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120 people
The number who actually took part.
- Started
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May 2026
- Finished
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Jun 2026
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Enrolled as a third-year medical student in the clinical neuroscience rotation at the University of Liberia. 2. Willing and able to complete the 45-minute educational module and post-intervention evaluations. 3. Provided informed consent to participate in the study. Exclusion Criteria: 1. Prior formal coursework, professional training, or specialized technical degree in artificial intelligence, machine learning, or computer science. 2. Inability to complete the post-intervention assessment.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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University of Liberia Medical School
Monrovia, Montserrado County, 1000, Liberia
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Other studies related to the condition(s) this trial covers.
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