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Augmented and Virtual Reality in Dental Medicine Updated: A Systematic Review and Meta-Analysis
Sofya Sadilina1, Syed Majeed Quadri2, Ronald E Jung1
1Clinic of Reconstructive Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland.
Journal of Periodontal Research
|April 25, 2026
Summary
Immersive technologies like virtual reality (VR) show promise in dental education and patient care, particularly for reducing anxiety in children. However, more high-quality research is needed to confirm these benefits.
Area of Science:
- Dental Medicine
- Educational Technology
- Immersive Technologies
Background:
- Augmented reality (AR), mixed reality (MR), and virtual reality (VR) are emerging technologies in healthcare.
- Their application in dental medicine and education requires systematic evaluation.
- This review synthesizes current evidence on AR, MR, and VR in dentistry.
Purpose of the Study:
- To systematically review and evaluate evidence on AR, MR, and VR in dental medicine and education.
- To assess the effectiveness and applications of these technologies in clinical and educational settings.
- To perform qualitative synthesis and quantitative meta-analysis where applicable.
Main Methods:
- Systematic electronic search from January 1, 2019, to July 14, 2025.
- Inclusion of studies on AR, MR, or VR in clinical treatment or dental education.
- Pairwise meta-analysis of randomized controlled trials (RCTs) for VR and stress parameters.
Main Results:
- 110 studies included, with VR being the most investigated technology (n=94).
- VR significantly reduced anxiety (SMD=-1.32) and borderline reduced heart rate (MD=-3.26) in children compared to standard techniques.
- No significant differences were found for adult patients in physiological or reported outcomes.
Conclusions:
- AR, MR, and VR are increasingly utilized in dental training and practice.
- Evidence supports VR's effectiveness in enhancing student learning and patient experience, especially for anxiety and pain management.
- Study limitations include heterogeneity and a limited number of high-quality studies, resulting in low to moderate evidence certainty.

