Trueness of Dental Implant Placement With Robotic Computer‐Assisted Implant Surgery: A Meta‐Analysis of Clinical Studies

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Authors: Nadia Sultana Shuborna, Sirimanas Jiaranuchart, James Chow, Alessandro Pozzi, Nikos Mattheos, Keskanya Subbalekha
Cited by: 4
References: 45

Abstract

OBJECTIVE: This study aimed to assess the trueness of dental implant placement with robotic Computer-Assisted Implant Surgery (r-CAIS), compare it with non-guided and other CAIS approaches, and investigate potential differences between sites in the maxilla and mandible. MATERIALS AND METHODS: A literature search was carried out in Scopus, MEDLINE/PubMed, and Cochrane Library to find prospective clinical studies where r-CAIS was used either as the sole procedure or compared with other CAIS approaches. Studies reporting trueness measured by means of deviation on platform, apex, and angle were included. RESULTS: Nineteen studies were eligible. The overall implant deviation using r-CAIS was 0.75 mm (95% Confidence interval [CI] = 0.68; 0.83), 0.79 mm (95% CI = 0.71; 0.87), and 1.88° (95% CI = 1.55; 2.20), in platform, apex, and angle, respectively. r-CAIS showed significantly less deviation compared to non-guided implant placement. Moreover, r-CAIS demonstrated less apex and angle deviation than static CAIS, and less angle deviation than dynamic CAIS. No difference in the trueness between the maxilla and the mandible was noted. CONCLUSIONS: Although several clinical trials on r-CAIS are now available, only a few comparative studies have been performed. Within these limitations, r-CAIS can achieve a high level of trueness in implant placement. Future comparative clinical trials with other implant placement methods are needed to augment the available evidence and provide more robust conclusions.

Fields of Study & Subjects

Dental Implant Techniques and Outcomes Dental Radiography and Imaging Scientific and Engineering Research Topics

Publication details

Journal / source
Clinical Oral Implants Research
Publisher
Wiley
Volume
37
Issue
5
Pages
575–589
Publication date
12 February 2026
Language
EN