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Can AI teaching outperform traditional lectures in medical education?

NCT ID NCT07778186

Knowledge-focused Sponsor: Sichuan Provincial People's Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Aug 21, 2026 · Last updated Aug 21, 2026

Summary

This trial tests whether an AI-driven interactive teaching model helps medical students learn nuclear medicine better than conventional lectures. About 85 undergraduate students will be randomly assigned to either the AI-based approach or standard teaching. Researchers will compare test scores, classroom engagement, and student satisfaction to see if the AI method enhances learning.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI-driven multiple interactive teaching model
What this could lead to
If effective, this approach could improve how medical students learn complex subjects like nuclear medicine, potentially leading to better-trained doctors.
What could go wrong
This is a single-center trial with a modest number of students, so results may not apply broadly. The AI method may not outperform traditional teaching, and student engagement or satisfaction could vary.

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

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

85 people

The number who actually took part.

Started

Feb 2025

Finished

Jun 2025

Lead sponsor

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

18 to 25 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show 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: * Undergraduate students majoring in clinical medicine who take the nuclear medicine theoretical course. * Age ≥18 years old. * Voluntarily agree to participate in this study and provide informed consent. * Complete the full-cycle nuclear medicine teaching activities. Exclusion Criteria: * Students who have previously received systematic nuclear medicine coursework. * Incomplete participation in teaching activities or missing post-intervention assessment data. * Students who refuse to join this research.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Healthy Nuclear medicine undergraduate medical education

Contacts and locations

Locations

  • Hao Wang

    Chengdu, Sichuan, 610072, China

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