Accuracy and Clinical Relevance of Robot-Assisted Implant Surgery: An Umbrella Review
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 degrees and 1.7 degrees. Comparative meta-analyses reported significant reductions in linear (-0.15 to -0.21 mm) and angular deviations (-1.2 degrees to -1.4 degrees) 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.
Más información
| Título según WOS: | ID WOS:001699871500001 Not found in local WOS DB |
| Título de la Revista: | APPLIED SCIENCES-BASEL |
| Volumen: | 16 |
| Número: | 4 |
| Editorial: | MDPI |
| Fecha de publicación: | 2026 |
| DOI: |
10.3390/app16042159 |
| Notas: | ISI |