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TRUVACE RECORD VERSION
record: TRV-2026-1082
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-09-14T06:55:26.671992Z
status: published
lens: g_space
sector: health
headline: Augmented and mixed reality as auxiliary tools in dental procedures and their integration with artificial intelligence: a scoping review
dek: Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixed Reality (MR) as auxiliary tools in dental procedures, and to examine the extent to which Artificial Intelligence (AI) has been integrated into these workflows. Data A scoping review was conducted in accordance with the PRISMA-ScR guidelines and the Joanna Briggs Institute (JBI) recommendations. The study selection and data extraction processes were carried out by two independent reviewers, with disagree…
gain_title: In implant dentistry, MR-based dynamic navigation achieved sub-millimetric entry deviation and outperformed freehand technique, with up to 72% angular accuracy improvement for inexperienced operators and more conservative tissue removal in endodontic and prosthetic tasks.
problem_title: (none)
trace_subject: (none)
gain_reading: In implant dentistry, MR-based dynamic navigation achieved sub-millimetric entry deviation and outperformed freehand technique, with up to 72% angular accuracy improvement for inexperienced operators and more conservative tissue removal in endodontic and prosthetic tasks.
gain_evidence: MR-based dynamic navigation achieved sub-millimetric accuracy (e.g., three-dimensional entry deviation of 0.417 mm) and outperformed the freehand technique | Improvements in angular accuracy (up to 72% among inexperienced operators) were observed in orthodontic mini-implant placement
problem_reading: (none)
problem_evidence: (none)
quick_read: By September 2026, a scoping review of literature up to June 2025 synthesized 15 studies on augmented and mixed reality as auxiliary tools in dentistry and their integration with AI. Most evidence was in implant dentistry, where MR-based dynamic navigation achieved sub-millimetric accuracy and outperformed freehand technique, with reported improvements in angular accuracy for inexperienced operators and more conservative tissue removal in endodontics and tooth preparation.

The review matters because it separates demonstrated navigation benefits from the limited role of AI, which remained in preparatory segmentation and planning rather than live execution, and because it highlights that zygomatic implant placement did not surpass freehand without robotic stabilization. Uncertainty remains about real-world clinical effectiveness given the predominance of in vitro and proof-of-concept designs and the stated need for multicenter randomized trials with independent validation.
limitation: Findings reflect technical feasibility rather than established clinical effectiveness due to predominance of in vitro and proof-of-concept designs, requiring multicenter randomized trials before adoption.
tag: Evidence-backed gain
key_points: Scoping review of 15 studies from 1,457 records searched in PubMed, Scopus, and Web of Science up to June 2025. | Most evidence concentrated in implant dentistry with reported three-dimensional entry deviation of 0.417 mm. | AI, where present, was restricted to preparatory stages: automated segmentation, image registration, and planning support, rather than intraoperative execution. | More conservative tissue removal reported in endodontic access and tooth preparation using AR/MR visualization.
rundown: The review followed PRISMA-ScR and JBI recommendations with two independent reviewers and searches in three databases up to June 2025, yielding 15 included studies from 1,457 records.

AR and MR were applied predominantly as intraoperative visualization and navigation aids, while AI was identified in a minority of studies and confined to automated segmentation, image registration, and planning support rather than intraoperative execution.
sources:
- peer_reviewed | Journal of Dentistry | https://doi.org/10.1016/j.jdent.2026.107043 | 2026-09-12
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