Accuracy evaluation of robot-guided laser osteotomy for dental implant bed preparation - a digital high-tech procedure.

IF 3 Q2 ROBOTICS

Frontiers in Robotics and AI Pub Date : 2025-09-29 eCollection Date: 2025-01-01 DOI:10.3389/frobt.2025.1614659

Florian M Thieringer, Regina Walher, Florian S Halbeisen, Quentin Garnier, Adrian Dragu, Bilal Msallem

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Abstract

Background: The accuracy and reproducibility of emerging high-tech procedures for dental implant placement need continuous evaluation. This is essential to facilitate the transition from conventional surgical guides to digital planning systems. This study investigates the accuracy of implant placement using robot-guided laser technology based on cone-beam computed tomography and intraoral scanning.

Methods: Twelve dental implants were placed using surgical planning software and a robot-guided laser osteotome. The procedure incorporated surface scanning and enabled implant bed preparation using a robot-guided laser.

Results: The mean overall 3D offset (mean ± SD) was 2.50 ± 1.30 mm at the base and 2.80 ± 1.00 mm at the tip, with a mean angular deviation of 6.60 ± 3.10°.

Conclusion: The results demonstrate a considerably greater deviation than conventional guided systems. In the context of the high demands of oral surgery, accuracy is particularly susceptible to fluctuations, some of which may stem from intermediate workflow steps, particularly due to the early development stage of the robotic system. Notably, the absence of real-time depth measurement and robot-assisted implant placement remains a significant constraint. However, future technological advances are expected to address these challenges.

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机器人引导激光截骨术在牙种植床准备中的准确性评估——一种数字高科技程序。

背景：新兴的高科技牙种植体植入手术的准确性和可重复性需要持续的评估。这对于促进从传统手术指南到数字计划系统的过渡至关重要。本研究探讨了基于锥形束计算机断层扫描和口腔内扫描的机器人引导激光技术在种植体植入中的准确性。方法：采用手术计划软件和机器人引导激光成骨术植入12颗种植牙。该过程结合了表面扫描，并使用机器人引导激光进行植入床准备。结果：整体三维偏移（平均±SD）的平均值为基部2.50±1.30 mm，尖端2.80±1.00 mm，平均角偏差为6.60±3.10°。结论：结果表明，与传统的制导系统相比，该系统的偏差更大。在口腔外科高要求的背景下，准确性特别容易受到波动的影响，其中一些可能源于中间工作流程步骤，特别是由于机器人系统的早期开发阶段。值得注意的是，缺乏实时深度测量和机器人辅助植入物放置仍然是一个重大的限制。然而，未来的技术进步有望解决这些挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Robotics and AI ROBOTICS-

CiteScore

6.50

自引率

5.90%

发文量

355

审稿时长

14 weeks

期刊介绍： Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.