Natural Sciences, Stomotology, 2026
ISSN: 1829-006X
INTEGRATION OF AI IN ROBOTIC SURGERY SYSTEMS FOR PRECISION IMPLANT PLACEMENT: A PILOT OBSERVATIONAL STUDY IN DIGITAL DENTISTRY
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Submitted: 2026-04-08
© 2026 by author(s) and The Gufo Inc.
This work is licensed under Creative Commons Attribution–NonCommercial International License
(CC BY-NC 4.0).
Abstract
Background:Dental implant placement demanded an always a guide to high precision, especially in anatomically
sensitive zones such as the posterior mandible. The integration of robotic assistance emerged as a promising technique to enhance surgical accuracy.
Aim:This pilot study evaluated the precision of dental implant placement using a robotic surgery system in comparison with digitally planned trajectories.
Materials and Methods:Ten partially edentulous patients, each desiring a single implant in the posterior mandibular
region, were enrolled. Preoperatively cone-beam computed tomography (CBCT) and digital intraoral scanning reports
were allowed to merged in CAD software for virtual implant positioning. Implant placement by the robotic arm guided by preloaded surgical plans and real-time navigation feedback was followed by postoperative regimen of CBCT
imaging, to assess deviations between planned and actual implant positions.
Results:The mean deviation (implant platform) was 0.71 mm, while the apex deviation averaged 0.68 mm. The angular deviation from planned to placed implants was 1.56°. These results suggested high fidelity.
Conclusion:Robotic-assisted implant procedure demonstrated promising accuracy. Technology offers potential benefits in precision and predictability, particularly in challenging posterior mandibular sites.