Medical EducationCerViD-MMNCT07743658
Explainable AI in Medical Education: CerViD-MultiModal Framework Trial
A study testing Traditional AI Lecture Module and XAI-Enhanced Interactive Module (CerViD-MultiModal) in people with Medical Education, run by University of Liberia at 1 site in Liberia.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Medical Education
- What is being tested?
- Traditional AI Lecture Module and XAI-Enhanced Interactive Module (CerViD-MultiModal)
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 120 participants
- Where
- 1 siteLiberia
- Study dates
- 30 May 2026to 15 Jun 2026
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- Prior formal coursework, professional training, or specialized technical degree in artificial intelligence, machine learning, or computer science.
- Inability to complete the post-intervention assessment.
Trial locations and contacts
1 site in 1 country.
Liberia1 site
University of Liberia Medical School
Monrovia, Montserrado County, 1000
About this study
Official title: Explainable Artificial Intelligence (XAI) in Medical Education: A Multi-Modal Framework for Enhancing Human-AI Collaboration
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)
- Conditions
- Medical Education
- Being tested
- Traditional AI Lecture Module, XAI-Enhanced Interactive Module (CerViD-MultiModal)
- Keywords
- Explainable Artificial Intelligence, Medical Student Education, Neuroimaging Interpretation, Mild Cognitive Impairment, SHAP, LIME
- Medical subject headings
- Cognitive Dysfunction
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Traditional AI Lecture ModuleOther
Standard educational instruction delivered via traditional slides and static charts explaining neuroimaging AI outputs.
XAI-Enhanced Interactive Module (CerViD-MultiModal)Other
Also called CerViD-MultiModal Framework, SHAP and LIME Educational Module
Standard educational instruction delivered via traditional slides and static charts explaining neuroimaging AI outputs.
| Study group | Role | What they receive |
|---|---|---|
| Control Group | Active comparator | Participants complete a 45-minute traditional lecture module on AI in neuroimaging using static text and bar charts Receives: Other: Traditional AI Lecture Module |
| XAI-Enhanced Group | Experimental | Participants complete an interactive 45-minute lecture module supplemented with CerViD-MultiModal visual XAI explanations (SHAP summary charts and LIME patient-specific explanations Receives: Other: XAI-Enhanced Interactive Module (CerViD-MultiModal) |
What is being measured
The primary outcome is the main question the study is designed to answer.
AI Literacy Score
Continuous score (0-100 scale) measuring conceptual knowledge, practical application, ethical awareness, and critical evaluation of AI systems in medicine
Measured: Immediately post-intervention (Day 1)
System Usability Scale (SUS) Score
Standardized 10-item scale assessing user perception of system usability, converted to a 0-100 overall score
Measured: Immediately post-intervention (Day 1)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Aug 2026
- Study start30 May 2026
- Primary completion30 May 2026
- Study completion15 Jun 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Medical EducationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Participants were randomized into two parallel groups (Control vs. XAI-Enhanced) for a 45-minute educational intervention.
- Masking
- None (open label)
- Enrolment
- 120 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Liberia
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute on Aging (NIA)
- Responsible party
- Principal investigator, Prince L. Fully, University of Liberia
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07743658
- Sponsor's protocol ID
- UL-IRB-2026-XAI-MED
- Other IDs
- U01AG024904
- Acronym
- CerViD-MM
- Status last verified
- Jul 2026
- First submitted
- 29 Jul 2026
- Last updated
- 4 Aug 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- 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.
Publications
Lundberg SM, Lee SI. A unified approach to interpreting model predictions. Advances in Neural Information Processing Systems (NeurIPS). 2017;30:4765-4774.
Study at a glance
From the registry record, last updated by the sponsor on 4 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Explainable Artificial Intelligence (XAI) in Medical Education: A Multi-Modal Framework for Enhancing Human-AI Collaboration
- ClinicalTrials.gov ID
- NCT07743658
- Acronym / sponsor ID
- CerViD-MM / UL-IRB-2026-XAI-MED
- Conditions
- Medical Education
- Keywords
- Explainable Artificial Intelligence, Medical Student Education, Neuroimaging Interpretation, Mild Cognitive Impairment, SHAP, LIME
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 120 participants (actual)
- Lead sponsor
- University of LiberiaUniversity, hospital or other
- Collaborators
- National Institute on Aging (NIA)
- Study start
- 30 May 2026 (actual)
- Primary completion
- 30 May 2026 (actual)
- Study completion
- 15 Jun 2026 (actual)
- First posted
- 4 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
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)
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Participants were randomized into two parallel groups (Control vs. XAI-Enhanced) for a 45-minute educational intervention.
| Arm | Type | Receives |
|---|---|---|
| Control Group | Active comparator | Other: Traditional AI Lecture ModuleParticipants complete a 45-minute traditional lecture module on AI in neuroimaging using static text and bar charts |
| XAI-Enhanced Group | Experimental | Other: XAI-Enhanced Interactive Module (CerViD-MultiModal)Participants complete an interactive 45-minute lecture module supplemented with CerViD-MultiModal visual XAI explanations (SHAP summary charts and LIME patient-specific explanations |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (2 listed)
- Prior formal coursework, professional training, or specialized technical degree in artificial intelligence, machine learning, or computer science.
- Inability to complete the post-intervention assessment.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Traditional AI Lecture ModuleStandard educational instruction delivered via traditional slides and static charts explaining neuroimaging AI outputs. | Other | Control Group |
| XAI-Enhanced Interactive Module (CerViD-MultiModal)Also: CerViD-MultiModal Framework, SHAP and LIME Educational ModuleStandard educational instruction delivered via traditional slides and static charts explaining neuroimaging AI outputs. | Other | XAI-Enhanced Group |
Primary outcome
AI Literacy Score
Time frame: Immediately post-intervention (Day 1)
Continuous score (0-100 scale) measuring conceptual knowledge, practical application, ethical awareness, and critical evaluation of AI systems in medicine
System Usability Scale (SUS) Score
Time frame: Immediately post-intervention (Day 1)
Standardized 10-item scale assessing user perception of system usability, converted to a 0-100 overall score
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Aug 2026.
- BackgroundLundberg SM, Lee SI. A unified approach to interpreting model predictions. Advances in Neural Information Processing Systems (NeurIPS). 2017;30:4765-4774.
- Individual participant dataSharing planned: 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Traditional AI Lecture Module and XAI-Enhanced Interactive Module (CerViD-MultiModal) in people with Medical Education, run by University of Liberia at 1 site in Liberia.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 4 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Liberia. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
AI Literacy Score (time frame: Immediately post-intervention (Day 1)). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07743658, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 4 Aug 2026.