SynthesisBMC oral health2026
Efficiency and accuracy of augmented reality guided endodontic surgery: a systematic review.
Synthesis in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndodontic microsurgery (EMS) is a precision-dependent procedure in which accurate localization of the root apex and controlled osteotomy are critical for successful outcomes. Despite advances in cone-beam computed tomography (CBCT), magnification, and microsurgical techniques, discrepancies between preoperative planning and intraoperative execution remain a persistent challenge, largely due to limitations in depth perception and spatial interpretation. Augmented reality (AR) technology has been introduced as an intraoperative guidance tool that enable real-time superimposition of three-dimensional anatomical data onto the surgical field, with the potential to enhance visual spatial integration and procedural accuracy. However, the effectiveness of AR-assisted EMS remains unclear due to limited and methodologically heterogeneous evidence.
methodsA systematic review was conducted in accordance with PRISMA 2020 guidelines. Electronic searches were performed in PubMed, Scopus, and Web of Science, supplemented by citation searching. Studies evaluating AR EMS were included. Data extraction was performed using a standardized framework, and outcomes were grouped into accuracy, efficiency, safety, operator-related parameters, and treatment completeness. Risk of bias was assessed using Cochrane RoB 2 for randomized studies and ROBINS-I (version 2) for non-randomized studies.
resultsThree studies met the inclusion criteria, comprising one randomized simulation study, one in vitro comparative study, and one ex vivo cadaveric study. AR-assisted workflows consistently demonstrated improved spatial accuracy, reflected by reduced linear and angular deviations during osteotomy and root-end resection. Operator-related outcomes, including confidence and usability, were positively influenced. However, efficiency outcomes were inconsistent across studies, and one study reported increased residual lesion volume, indicating a potential trade-off between precision and treatment completeness. Risk of bias ranged from moderate to high, primarily due to confounding and measurement-related limitations.
conclusionsAR guided EMS demonstrates promising improvements in surgical accuracy and operator interaction however; the current evidence is limited by methodological heterogeneity and lack of clinical validation. AR should be considered a precision-enhancing adjunct rather than a replacement for conventional techniques. Further standardized and clinically relevant studies are required to establish its translational applicability in endodontic practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.