Medical EducationNCT06942130
The Application of Artificial Intelligence in Dental Education
A study testing Artificial intelligence and Video in people with Medical Education, run by Hospital of Stomatology, Wuhan University at 1 site in China.
Trial summary
Clinical procedural skills training is a cornerstone of preclinical education for dental students. While technological aids such as virtual reality and simulators are increasingly integrated into training, direct instructor guidance remains fundamental to skill development. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Medical Education
- What is being tested?
- Artificial intelligence and Video
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 192 participants
- Where
- 1 siteChina
- Study dates
- 1 Oct 2024to 2 Nov 2024
- 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 Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- They must have completed courses in endodontics, periodontology, prosthodontics, and oral and maxillofacial surgery; participants should have little to no prior training in the skills related to the experiment; and they must voluntarily agree to participate in the study and sign an informed consent form.
Who cannot join
- Participants will be excluded if they meet any of the following criteria: failure in final exams of the four courses (endodontics, periodontology, prosthodontics, and oral and maxillofacial surgery); transfer to another major, suspension, or withdrawal from the current academic year; refusal to join the study or withdrawal midway; failure to meet the calibration standards in the 9-point eye-tracking calibration; use of OpenAI-related software or applications in the control group; or failure to complete the skill test.
Trial locations and contacts
1 site in 1 country.
China1 site
School & Hospital of Stomatology, Wuhan University
Wuhan, Hubei, 430079
About this study
Official title: Model Construction for AI-assisted Teaching
Clinical procedural skills training is a cornerstone of preclinical education for dental students. While technological aids such as virtual reality and simulators are increasingly integrated into training, direct instructor guidance remains fundamental to skill development. Artificial intelligence（AI）， as an emerging technology, is now gradually being adopted in medical education. This medical education trial, aimed at evaluating the potential of artificial intelligence in dental education, seeks to address two key questions: 1) Can AI assistance enhance the skill performance of dental students? 2) How can AI be effectively integrated into modern medical education? Researchers will compare the effects of AI and video-based instruction on skill acquisition, assessing differences in skill performance outcomes. Participants will engage in skill acquisition using either AI or video-based instruction over a one-week period.
- Conditions
- Medical Education
- Being tested
- Artificial intelligence, Video
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial intelligenceOther
Incorporating artificial intelligence as an aid to video-based skill learning
VideoOther
Skill learning solely through videos
| Study group | Role | What they receive |
|---|---|---|
| Artificial intelligence-assisted learning group | Experimental | After completing theoretical knowledge learning, students can use artificial intelligence for skills learning. AI provides steps for specific skill operations, points to note, as well as the desired performance and potential consequences of the operations. Receives: Other: Artificial intelligence; Other: Video |
| Control group | Active comparator | This group is provided with detailed videos of specific clinical procedures, recorded by experienced physicians and educators, which demonstrate proper techniques and expected outcomes. Receives: Other: Video |
What is being measured
The primary outcome is the main question the study is designed to answer.
Operational test scores
Operational testing is a common method used to measure participants' proficiency in skill operation. At the conclusion of the experiment, participants completed a 15-minute operational test in a desktop VR environment. Scores were automatically calculated by the VR system, ensuring objectivity in the results.
Measured: through study completion, an average 1 week
spatial ability
Spatial ability, also known as visual-spatial ability (VSA) encompasses critical cognitive functions that enable individuals to understand, interpret, and manipulate spatially related information. The Purdue Spatial Visualization Test: Rotations (PSVT: R) - served as the measurement tool for analyzing subjects' mental rotation skills. This standardized evaluation contains 30 items that measure how effectively individuals can manipulate imagined three-dimensional figures. Each question includes an example and five choices, with only one being correct. Participants were tasked to rotate the given figure mentally in a similar manner as it was rotated in the example and to select the appropriate choice.
Measured: Baseline
cognitive load
Cognitive load refers to the resources required by working memory for a particular task. Eye-tracking technology has gained increasing popularity in investigating learners' visual attention distribution and cognitive load. As one of the key indicators, pupil diameter has been used to measure cognitive load during learning. In this study, we used eye-tracking devices to record the pupil diameter of participants during learning to quantify cognitive load.
Measured: through study completion, an average 1 week
Secondary outcomes (2)
learning motivation
Motivation is a motivational tendency guiding and sustaining a student's learning behavior toward specific academic goals.This study employed questionnaires to measure it. The questionnaire contains five items focusing on the motivation domain . Each item was coded according to a five-point Likert rating scale (1 = "strongly disagree", 2 = "disagree", 3 = "neutral", 4 = "agree", 5 = "strongly agree").
Measured: through study completion, an average 1 week
self-efficacy
Self-efficacy, a concept first developed by Bandura, refers to people's subjective judgments regarding their ability to successfully perform an achievement behavior. The questionnaire contains five items focusing on the motivation domain . Each item was coded according to a five-point Likert rating scale (1 = "strongly disagree", 2 = "disagree", 3 = "neutral", 4 = "agree", 5 = "strongly agree").
Measured: through study completion, an average 1 week
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 Apr 2025
- Study start1 Oct 2024
- Primary completion2 Nov 2024
- Study completion2 Nov 2024
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
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind
- Who is masked
- Investigator, Outcomes assessor
- Enrolment
- 192 participants (actual)
Sponsor and investigators
- Lead sponsor
- Hospital of Stomatology, Wuhan University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Siyu Huang, Hospital of Stomatology, Wuhan University
- Investigators
- Yang Dong, PhD, Study chair, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06942130
- Sponsor's protocol ID
- 2024ZG147
- Status last verified
- Apr 2025
- First submitted
- 14 Apr 2025
- Last updated
- 24 Apr 2025
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Huang S, Wen C, Bai X, Li S, Wang S, Wang X, Yang D. Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial. J Med Internet Res. 2025 May 27;27:e68538. doi: 10.2196/68538.
PubMed 40424023
Study at a glance
From the registry record, last updated by the sponsor on 24 Apr 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Model Construction for AI-assisted Teaching
- ClinicalTrials.gov ID
- NCT06942130
- Acronym / sponsor ID
- 2024ZG147
- Conditions
- Medical Education
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 192 participants (actual)
- Lead sponsor
- Hospital of Stomatology, Wuhan UniversityUniversity, hospital or other
- Study start
- 1 Oct 2024 (actual)
- Primary completion
- 2 Nov 2024 (actual)
- Study completion
- 2 Nov 2024 (actual)
- First posted
- 24 Apr 2025 (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.
Clinical procedural skills training is a cornerstone of preclinical education for dental students. While technological aids such as virtual reality and simulators are increasingly integrated into training, direct instructor guidance remains fundamental to skill development. Artificial intelligence（AI）， as an emerging technology, is now gradually being adopted in medical education. This medical education trial, aimed at evaluating the potential of artificial intelligence in dental education, seeks to address two key questions: 1) Can AI assistance enhance the skill performance of dental students? 2) How can AI be effectively integrated into modern medical education? Researchers will compare the effects of AI and video-based instruction on skill acquisition, assessing differences in skill performance outcomes. Participants will engage in skill acquisition using either AI or video-based instruction over a one-week period.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (investigator, outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Artificial intelligence-assisted learning group | Experimental | Other: Artificial intelligence, Other: VideoAfter completing theoretical knowledge learning, students can use artificial intelligence for skills learning. AI provides steps for specific skill operations, points to note, as well as the desired performance and potential consequences of the operations. |
| Control group | Active comparator | Other: VideoThis group is provided with detailed videos of specific clinical procedures, recorded by experienced physicians and educators, which demonstrate proper techniques and expected outcomes. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- They must have completed courses in endodontics, periodontology, prosthodontics, and oral and maxillofacial surgery; participants should have little to no prior training in the skills related to the experiment; and they must voluntarily agree to participate in the study and sign an informed consent form.
Key exclusion criteria (1 listed)
- Participants will be excluded if they meet any of the following criteria: failure in final exams of the four courses (endodontics, periodontology, prosthodontics, and oral and maxillofacial surgery); transfer to another major, suspension, or withdrawal from the current academic year; refusal to join the study or withdrawal midway; failure to meet the calibration standards in the 9-point eye-tracking calibration; use of OpenAI-related software or applications in the control group; or failure to complete the skill test.
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 |
|---|---|---|
| Artificial intelligenceIncorporating artificial intelligence as an aid to video-based skill learning | Other | Artificial intelligence-assisted learning group |
| VideoSkill learning solely through videos | Other | Artificial intelligence-assisted learning group, Control group |
Primary outcome
Operational test scores
Time frame: through study completion, an average 1 week
Operational testing is a common method used to measure participants' proficiency in skill operation. At the conclusion of the experiment, participants completed a 15-minute operational test in a desktop VR environment. Scores were automatically calculated by the VR system, ensuring objectivity in the results.
spatial ability
Time frame: Baseline
Spatial ability, also known as visual-spatial ability (VSA) encompasses critical cognitive functions that enable individuals to understand, interpret, and manipulate spatially related information. The Purdue Spatial Visualization Test: Rotations (PSVT: R) - served as the measurement tool for analyzing subjects' mental rotation skills. This standardized evaluation contains 30 items that measure how effectively individuals can manipulate imagined three-dimensional figures. Each question includes an example and five choices, with only one being correct. Participants were tasked to rotate the given figure mentally in a similar manner as it was rotated in the example and to select the appropriate choice.
cognitive load
Time frame: through study completion, an average 1 week
Cognitive load refers to the resources required by working memory for a particular task. Eye-tracking technology has gained increasing popularity in investigating learners' visual attention distribution and cognitive load. As one of the key indicators, pupil diameter has been used to measure cognitive load during learning. In this study, we used eye-tracking devices to record the pupil diameter of participants during learning to quantify cognitive load.
2 secondary outcomes
learning motivation
Time frame: through study completion, an average 1 week
self-efficacy
Time frame: through study completion, an average 1 week
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 24 Apr 2025.
- Derived from this study: PubMed 40424023Huang S, Wen C, Bai X, Li S, Wang S, Wang X, Yang D. Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial. J Med Internet Res. 2025 May 27;27:e68538. doi: 10.2196/68538.
- Individual participant dataSharing planned: Undecided
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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.
Yang Dong, PhD study chair
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Artificial intelligence and Video in people with Medical Education, run by Hospital of Stomatology, Wuhan University at 1 site in China.
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 1 inclusion and 1 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 24 Apr 2025. 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 China. 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?
Operational test scores (time frame: through study completion, an average 1 week). The study lists 3 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 NCT06942130, 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 24 Apr 2025.