Evidence map›Paper›PMID 42821990›Full record

Trial reportJournal of medical Internet research2026

Effects of Generative AI-Supported Virtual Reality Dental Skill Training on Learning Performance, Visual Behavior, and Cortical Activation Among Dental Students: Stratified Randomized Controlled Trial.

Yuting Wen, Chang Wen, Siyu Huang, Yufei Chong, Dong Yang

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuting Wen *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, Wuhan, Hubei, China.ORCID https://orcid.org/0009-0007-8040-9250
Chang Wen *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, Wuhan, Hubei, China.ORCID https://orcid.org/0009-0008-7748-9058
Siyu HuangState 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, Wuhan, Hubei, China.ORCID https://orcid.org/0009-0009-1516-7333
Yufei ChongThe Affilated Hospital of Hubei Provincial Government, Wuhan, Hubei, China.ORCID https://orcid.org/0009-0005-0513-0570
Dong YangState 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, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0001-8378-9008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid advancement of AI, particularly generative AI (GenAI), is reshaping educational paradigms. However, its utility in preclinical digital medical skills education remains insufficiently explored.

objectiveThis study aims to investigate whether GenAI‑assisted training yields superior performance relative to traditional instruction in virtual reality (VR)-supported preclinical dental skill education.

methodsA total of 123 eligible students from a top‑tier Chinese university completed the trial. Participants were stratified by baseline theoretical scores and randomly assigned within each stratum into two arms: the GenAI-assisted group (n=62) received ChatGPT guidance without human tutoring, with research assistants monitoring AI outputs solely for safety and error checking; the teacher-led control group (n=61) received on-site instructor guidance. Both groups underwent standardized VR-based dental skill training for 7 days. Assessments included dental operative skill examinations, functional near-infrared spectroscopy recording, continuous eye-tracking monitoring, visual-spatial ability tests, and questionnaires measuring self-regulated learning, learning emotions, and engagement.

resultsAs the primary outcome, there was a statistically significant intergroup difference in operative test scores between the control group (mean 67.39, SD 16) and the GenAI‑assisted group (mean 77.25, SD 11.86), with the GenAI‑assisted group exhibiting higher operative test scores relative to the control group (t

conclusionsStudents randomized to GenAI-assisted training had higher immediate operative scores than students receiving teacher-led instruction. Secondary cognitive, behavioral, and neurophysiological findings were exploratory and pointed toward a link between GenAI exposure and variations in skill‑acquisition metrics among dental students receiving VR-based training. The results offer preliminary insights regarding the potential integration of GenAI into preclinical dental skill education.

trial registrationChinese Clinical Trial Registry ChiCTR2500110063; https://tinyurl.com/2hkv5wt9.

Indexed as

Education, DentalLearningStudents, DentalVirtual RealityAdultFemaleGenerative Artificial IntelligenceHumansMaleYoung Adultclinical skillscognitive loadgenerative AImedical educationself-regulated learningvisual-spatial ability

Identifiers

PMID42821990

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.