Bibliographic Details
| Title: |
Accuracy of robotic computer-assisted implant surgery in clinical studies: a systematic review and meta-analysis |
| Authors: |
Zixin Luo, An Li, Alexey Unkovskiy, Jiang Li, Florian Beuer, Zhe Wu, Ping Li |
| Source: |
BMC Oral Health, Vol 25, Iss 1, Pp 1-14 (2025) |
| Publisher Information: |
BMC, 2025. |
| Publication Year: |
2025 |
| Collection: |
LCC:Dentistry |
| Subject Terms: |
Computer-assisted implant surgery, Accuracy, Dental implant, Robot-assisted surgery, Dentistry, RK1-715 |
| More Details: |
Abstract Objectives To analyze the accuracy of the robotic system in clinical studies and assess potential factors that might affect the accuracy of robotic implant placement. Materials and methods PubMed, Embase, and Cochrane Central Register of Controlled Trials were used to search for studies published from August 2014 till October 2024. Studies on robotic computer-assisted implant surgery (R-CAIS) were identified. Furthermore, manual searches were performed for selected journals. Only clinical studies were included. Subgroup analysis was performed based on robot autonomy, different dentitions, and the working principle of the camera. Results Sixteen studies met the inclusion criteria, evaluating 908 implants. The meta-analysis of accuracy showed that the average global platform deviation, global apex deviation, and angular deviation were 0.69 mm (95% CI: 0.61‒0.77, I 2 = 94%), 0.72 mm (95% CI: 0.64‒0.79, I 2 = 93%), and 1.62° (95% CI: 1.34°‒1.89°, I 2 = 96%), respectively. In subgroup analysis, Meta-generic inverse variance analysis observed statistically significant differences in global platform deviation and apex deviation between robots using infrared and mechanical tracking (p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1472-6831 |
| Relation: |
https://doaj.org/toc/1472-6831 |
| DOI: |
10.1186/s12903-025-05837-2 |
| Access URL: |
https://doaj.org/article/d8baf97e97794cbc9761622e5944a2b0 |
| Accession Number: |
edsdoj.8baf97e97794cbc9761622e5944a2b0 |
| Database: |
Directory of Open Access Journals |
