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Effectiveness of artificial intelligence-driven simulation in dental education: a systematic review and meta-analysis of learning outcomes
- Truvace record
- TRV-2026-2789raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
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BACKGROUND: This systematic review and meta-analysis aimed to evaluate and quantitatively synthesize the effectiveness of artificial intelligence (AI)-driven simulation (ADS) technologies in improving learning outcomes in dental education. METHODS: The PubMed, Scopus, and Web of Science electronic databases were searched up to March 2026. Studies evaluating ADS modalities, with or without a comparator, were included. Comparative studies with appropriate control groups contributed to the meta-analysis, while all…
The gain
A systematic review and meta-analysis of five comparative studies (557 dental students) found AI-driven simulation was associated with better overall learning outcomes than traditional training (SMD 1.20; 95% CI 0.73-1.67).
What this doesn’t fix
The pooled estimate combines randomized and non-randomized studies, mixes psychomotor, cognitive and subjective outcomes, shows moderate-to-high heterogeneity, and rests on few, mostly short-term studies with moderate-to-serious risk of bias.
Sources
1 on file- BMC Medical Educationdoi:10.1186/s12909-026-09390-6
What the review found when it combined the studies
These are the review’s own pooled results, copied from its abstract. Truvace did not recalculate them.
Overall learning outcomes after trim-and-fill adjustment for possible publication bias
SMD 1.04 (95% CI 0.57 to 1.51)
557 people · search to March 2026
The review’s own words
The effect size was reduced slightly after adjustment, to SMD = 1.04 (95% CI: 0.57 to 1.51; p = 0.0013), although this was still significant, suggesting potential publication bias; however, given the small number of studies, these findings should be interpreted with caution and do not allow reliable conclusions regarding the presence or impact of publication bias.
Learning outcomes with intelligent tutoring system simulation compared with traditional simulation (network meta-analysis)
SMD 1.91 (95% CI 1.12 to 2.69)
557 people · search to March 2026
The review’s own words
ITS-based systems recorded the highest effect compared to traditional simulation (SMD = 1.91; 95% CI: 1.12 to 2.69), followed by VR-haptic (SMD = 1.53) and VR adaptive (SMD = 1.49).
Overall learning outcomes of dental students with AI-driven simulation compared with traditional training
SMD 1.20 (95% CI 0.73 to 1.67)
557 people · search to March 2026
The review’s own words
ADS, considered as a heterogeneous group of AI-based educational interventions, was associated with improved overall learning outcomes compared to traditional methods (SMD = 1.20; 95% CI: 0.73-1.67).
Overall learning outcomes excluding studies with imputed standard deviations (sensitivity analysis)
SMD 0.94 (95% CI 0.42 to 1.46)
search to March 2026
The review’s own words
When performing sensitivity analysis excluding studies with imputed standard deviations [ 28 , 34 ], the pooled effect was slightly reduced but remained statistically significant (SMD = 0.94, 95% CI: 0.42–1.46, p = 0.0102), indicating no material impact on overall findings.
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Cite this record
v1Truvace Impact Record TRV-2026-2789, v1: “Effectiveness of artificial intelligence-driven simulation in dental education: a systematic review and meta-analysis of learning outcomes.” Truvace, 2026-11-12. /record/TRV-2026-2789 (accessed on the day you copy it). sha256 f51d5cfd9e890a00…
Change history
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