Accuracy and Clinical Relevance of Robot-Assisted Implant Surgery: An Umbrella Review

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Authors: Javier Basualdo Allende, Vanessa Campos‐Bijit, Constanza Morales-Gómez, Leonardo Díaz, Cristian Bersezio, Eduardo García Fernández
Cited by: 1
References: 46

Abstract

Robot-assisted implant surgery (RAIS) represents the most advanced form of digitally guided implant placement, integrating virtual planning with mechanically constrained execution and real-time control. Although multiple systematic reviews suggest superior accuracy with robotic systems, the magnitude and clinical relevance of these gains remain uncertain at the highest level of evidence. This umbrella review, conducted according to PRISMA 2020 and Joanna Briggs Institute guidelines, aimed to synthesize and critically appraise systematic reviews and meta-analyses evaluating the accuracy of Robot-assisted implant surgery (RAIS) in dental implantology. Search across five major databases identified seven eligible reviews published between 2023 and 2025, including clinical, cadaveric, and in vitro evidence. Across reviews, RAIS consistently demonstrated the highest placement accuracy, with pooled mean coronal deviations of 0.60–0.73 mm, apical deviations of 0.63–0.70 mm, and angular deviations typically between 1.4° and 1.7°. Comparative meta-analyses reported significant reductions in linear (−0.15 to −0.21 mm) and angular deviations (−1.2° to −1.4°) compared with dynamic navigation. Despite these technical advantages, evidence linking improved accuracy to enhanced implant survival, reduced complications, or superior patient-reported outcomes was limited. Robotic workflows were associated with longer setup times, while safety profiles were comparable to other guided techniques. Overall, RAIS provides the highest placement accuracy currently reported; however, further high-quality clinical trials are needed to clarify its impact on long-term clinical outcomes and cost-effectiveness.

Fields of Study & Subjects

Dental Implant Techniques and Outcomes Dental Radiography and Imaging Temporomandibular Joint Disorders

Publication details

Journal / source
Applied Sciences
Publisher
MDPI AG
Volume
16
Issue
4
Pages
2159–2159
Publication date
23 February 2026
Language
EN