ArticleClinical oral investigations2024
Influence of dental implant clinical experience on the accuracy of robot-assisted immediate implant placement: an in vitro study.
Article in Clinical oral investigations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of robotic computer-assisted implant surgery in clinical studies: a systematic review and meta-analysis.BMC oral health · 2025Pooled it
- Accuracy of robotic systems in dental implant placement with clinical subgroup analyses: A systematic review and meta-analysis.The Japanese dental science review · 2026Review
- Robot-assisted Computer-Implant surgery : A comprehensive review of system architecture, clinical accuracy, and emerging technologies.Journal of robotic surgery · 2026Review
- Learning curve of autonomous computer-assisted implant surgery systems for postgraduate dental trainees: an in vitro study.BMC oral health · 2026Article
- Pain, duration and safety of computer-assisted surgical exposure of palatally displaced canines: A case series.Medicina oral, patologia oral y cirugia bucal · 2026Article
- Dynamic and Robotic Computer-Assisted Implant Surgery-A Possible Workflow for the Future?Australian dental journal · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectivesTo assess the accuracy and effectiveness among operators with different levels of experience in a robot-assisted immediate implant surgery. MATERIALS AND
methodsThe study included four participants who had received dental training at the same institution but have varying levels of clinical experience in implant dentistry, denoted as undergraduate student (UG), dental resident (DR), specialist with no robot experience (IS) and specialist with robot experience (RS). Following comprehensive theoretical training in robot-assisted implant operation, each operator participated in five robotic-assisted implant procedures at 21 sites, resulting in the implant surgery of a total of 20 implants. Subsequently, the accuracy of the implants was assessed by analyzing the preoperative planning and the postoperative CBCT scans, and the time required for each procedure was also recorded.
resultsAngular deviation in UG, DR, IS and RS group was 0.82 ± 0.27°, 0.55 ± 0.27°, 0.83 ± 0.27°, and 0.56 ± 0.36°, respectively. The total deviation of the implant platform point was 0.28 ± 0.10 mm, 0.26 ± 0.16 mm, 0.34 ± 0.08 mm and 0.31 ± 0.06 mm, respectively. The total deviation of the apical point was 0.30 ± 0.08 mm, 0.25 ± 0.18 mm, 0.31 ± 0.09 mm, and 0.31 ± 0.05 mm, respectively. The time spent was 10.37 ± 0.57 min, 10.56 ± 1.77 min, 9.93 ± 0.78 min, and 11.76 ± 0.78 min for each operator. As the number of operations increased, the operation time decreased, but there was no significant difference in implant accuracy between the different groups.
conclusionsWithin the scope of this study, robot-assisted implant surgery demonstrated high accuracy, with no significant differences in performance between operators with varying levels of clinical experience or implant robot-user experience. Furthermore, the learning curve for robotic implant surgery is steep and consistent. CLINICAL RELEVANCE: Robot-assisted implant surgery demonstrates consistent high accuracy across operators of varying clinical and robotic experience levels, highlighting its potential to standardize procedures and enhance predictability in clinical outcomes.
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