ArticlePloS one2025
Development and precision evaluation of a robotic system for oral implant surgery using personalized digital guides and optical spatial positioning technology.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Robot-Assisted Oral Examination: Challenges and Innovations.International dental journal · 2026Pooled it
- Artificial Intelligence in Implant Dentistry: Clinical Validity, Diagnostic Performance, Surgical Planning, and Medico-Legal Implications-A Narrative Review.Dentistry journal · 2026Review
- Robot-Assisted Dentistry: What the Evidence Supports and Which Outcomes Are Still Missing.Cureus · 2026Review
- A study on the correlation between robotic arm force feedback and drilling approach angle/depth in dental implantation: an in vitro investigation.BMC oral health · 2026Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oral implant surgery demands a high level of precision and expertise, making the integration of robotic assistance an optimal solution. This study introduces an innovative dental implant robotic system designed to enhance accuracy during cavity preparation by combining robotic technology, optical spatial positioning, and personalized digital implant guides. The system employs an EC66 six-degree-of-freedom robotic arm, integrated with digital implant guides and optical navigation technology. A customized implant guide mapping device was developed, fabricated, and validated for its guiding accuracy through meticulous registration and measurement processes. The robotic system's coordinate systems were thoroughly analyzed, and hand-eye calibration, along with tool calibration, was implemented to ensure synchronized spatial transformations and complete spatial information registration.The robotic system demonstrated superior angular precision in cavity preparation, significantly reducing angular deviation compared to traditional manual methods (4.17 ± 0.28° vs. 5.23 ± 0.10°). However, no significant differences were found in top surface deviation (1.09 ± 0.37 mm vs. 1.43 ± 0.06 mm) or root surface deviation (1.49 ± 0.57 mm vs. 2.57 ± 0.10 mm) between the robotic and manual approaches. These results indicate that while the robotic system excels in angular control, surface deviations in the top and root regions remain comparable to those achieved through manual methods. The system effectively reduces human error, particularly in angular precision, ensuring greater directional control during the procedure. Despite these advancements, further improvements are needed in model and template printing precision, as well as optimization of calibration methods, to minimize residual errors and enhance overall accuracy.This study presents a novel and reproducible approach for assessing the accuracy of implant guides and robotic positioning systems. By showcasing the potential of robotic systems to improve surgical precision and outcomes in dental implantology, this research offers valuable insights for future clinical applications and technological advancements in the field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.