ClinicalTrials.gg
CompletedNCT07743658CerViD-MMUpdated Aug 4, 2026

Explainable AI in Medical Education: CerViD-MultiModal Framework Trial

An interventional study of Traditional AI Lecture Module and XAI-Enhanced Interactive Module (CerViD-MultiModal) in Medical Education, sponsored by University of Liberia. Completed at 1 site in Liberia. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-08-04.

Sponsored by University of Liberia · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
120
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study 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

Read the detailed description

The study utilized a two-phase sequential explanatory design with mixed methodologies. In Phase 1 (Technical Development), the CerViD-MultiModal model was developed and validated using neuroimaging data from 100 Alzheimer's Disease Neuroimaging Initiative (ADNI) subjects to classify early vs. late mild cognitive impairment via fornix morphometry features. In Phase 2 (Educational Intervention), a randomized controlled trial was conducted with 120 third-year medical students enrolled in the clinical neuroscience rotation at the University of Liberia. Participants were randomized into two equal groups (n=60 per group): Control Group: Completed a 45-minute traditional lecture module using static text and bar charts. XAI-Enhanced Group: Completed an interactive 45-minute module featuring SHAP summary charts, LIME patient-specific explanations, and interactive force graphs. Post-intervention electronic assessments evaluated four primary outcomes: AI Literacy Score (0-100 scale), System Usability Scale (SUS, 0-100 scale), perceived cognitive workload using the NASA Task Load Index (NASA-TLX, 0-100 scale), and Confidence in AI Interpretation (1-5 scale)

02

Conditions studied

  • Medical Education

Keywords

  • Explainable Artificial Intelligence
  • Medical Student Education
  • Neuroimaging Interpretation
  • Mild Cognitive Impairment
  • SHAP
  • LIME
03

In context

Cognitive Dysfunction

3,872 studies on the registry are indexed under Cognitive Dysfunction; 1,119 are open to participants now.

This study's enrollment of 120 is above the median of 64 across 2,794 interventional studies indexed under Cognitive Dysfunction.

Browse Cognitive Dysfunction studies →

Lead sponsor

This is the only study on the registry with University of Liberia as lead sponsor.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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 to participate in the study.

Exclusion criteria

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.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
120 participants (actual)

Study arms

  • Active comparator
    Control Group

    Participants complete a 45-minute traditional lecture module on AI in neuroimaging using static text and bar charts

    Other: Traditional AI Lecture Module

  • Experimental
    XAI-Enhanced Group

    Participants complete an interactive 45-minute lecture module supplemented with CerViD-MultiModal visual XAI explanations (SHAP summary charts and LIME patient-specific explanations

    Other: XAI-Enhanced Interactive Module (CerViD-MultiModal)

Interventions

  • OtherTraditional AI Lecture Module

    Standard educational instruction delivered via traditional slides and static charts explaining neuroimaging AI outputs.

  • OtherXAI-Enhanced Interactive Module (CerViD-MultiModal)

    Standard educational instruction delivered via traditional slides and static charts explaining neuroimaging AI outputs.

    Also known as: CerViD-MultiModal Framework, SHAP and LIME Educational Module

06

What researchers measure

Primary outcomes

  1. AI Literacy Score

    Continuous score (0-100 scale) measuring conceptual knowledge, practical application, ethical awareness, and critical evaluation of AI systems in medicine

    Time frame: Immediately post-intervention (Day 1)

  2. System Usability Scale (SUS) Score

    Standardized 10-item scale assessing user perception of system usability, converted to a 0-100 overall score

    Time frame: Immediately post-intervention (Day 1)

07

Study locations

1 site
  • University of Liberia Medical School
    Monrovia, Montserrado County 1000, Liberia
08

References and documents

Publications

  • Lundberg SM, Lee SI. A unified approach to interpreting model predictions. Advances in Neural Information Processing Systems (NeurIPS). 2017;30:4765-4774.

Individual participant data

Plan to share: Yes — De-identified individual participant data collected during the study, including post-intervention assessment scores for AI literacy, System Usability Scale (SUS) ratings, NASA Task Load Index (NASA-TLX) workload metrics, and confidence scores, will be made available upon reasonable request. All direct and indirect identifiers will be removed prior to data sharing to preserve participant privacy.

Supporting information: Study protocol, Statistical analysis plan, Analytic code

Time frame: De-identified individual participant data and supporting documents will become available within 6 months following publication of the study results in a peer-reviewed journal and will remain accessible for up to 3 years.

Access criteria: Data and supporting materials will be shared with qualified academic researchers and clinical educators whose formal proposal has been approved by the research team. Access is granted solely for scientific research and meta-analytic purposes. Requests should be submitted via email directly to the Principal Investigator.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from May 2026 to primary completion in May 2026, 0 months.

Of 1,442 non-industry interventional studies with no phase under Cognitive Dysfunction, half reached primary completion within 27 months of starting (the median), counting those still running; a quarter within 13 and three quarters within 51. This study's 0 months is below that.

Counting every sponsor, half of 1,511 studies reached it within 27 months; a quarter within 12 and three quarters within 50.

How these figures are worked out, and which studies are left out of them.

Registered
Jul 29, 2026
First posted
Aug 4, 2026
StartActual
May 30, 2026
Primary completionActual
May 30, 2026
CompletionActual
Jun 15, 2026
Last update
Aug 4, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 4, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07743658
Lead sponsor
University of Liberia
Responsible party
Prince L. Fully (Mr., University of Liberia) — Principal investigator
First posted
Aug 4, 2026
Start date
May 30, 2026
Primary completion
May 30, 2026
Completion
Jun 15, 2026
Last update
Aug 4, 2026

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jul 2026. You cannot join it, but the record below documents what was studied.

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