扫描仪
计算机科学
锥束ct
牙种植体
过程(计算)
立体光刻
计算机断层摄影术
植入
人工智能
医学
工程类
放射科
外科
机械工程
操作系统
标识
DOI:10.1038/s41415-024-7905-7
摘要
Abstract Introduction This paper introduces a novel methodology for analysing dental implant positioning in vivo , advancing beyond traditional methods that rely on post-placement cone beam computed tomography (CBCT) scans. Method The core of the methodology is comparing stereolithography (STL) files, representing pre-planned and actual post-placement implant positions. These STL files, exported from guided surgery planning and computer-aided design software, focus on clinically significant key points, like the apical and coronal midpoints. Additionally, the method uses pose detection, differing fundamentally from CBCT scan approximations. Discussion Relying on pose detection instead of scanner resolution, this method aligns with international standards and overcomes CBCT and intra-oral scanner limitations. It allows for a more precise and accurate assessment of implant positions, independent of scanner technology constraints. Further refinements include potential detailed reporting of apical deviations, enhancing implant placement accuracy. Conclusion This research has significant implications for dental implantology, enhancing implant placement precision and overall procedure success. Introducing an automated process for report generation through a batch script improves efficiency and precision, streamlining the analysis process. This innovation sets the stage for future technological advancements, improving both the accuracy and reliability of implant placement assessments.
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