Bulletin of Stomatology and Maxillofacial Surgery
ISSN 1829-006X
2025; 30–33
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INTEGRATION OF AI IN ROBOTIC SURGERY SYSTEMS FOR PRECISION IMPLANT PLACEMENT: A PILOT OBSERVATIONAL STUDY IN DIGITAL DENTISTRY

Nandhini Sivamani*

Received: 2026-04-08 · Published: 2025-09-21

© 2025 The Author(s) and the original publisher.

CC BY-NC 4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Original title
INTEGRATION OF AI IN ROBOTIC SURGERY SYSTEMS FOR PRECISION IMPLANT PLACEMENT: A PILOT OBSERVATIONAL STUDY IN DIGITAL DENTISTRY
Author
Nandhini Sivamani
Source journal
Bulletin of Stomatology and Maxillofacial Surgery
Published
2025-09-21
Licence
Creative Commons Attribution-NonCommercial 4.0 International
Original
https://doi.org/10.58240/1829006X-2025.21.9-30

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.
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