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Artificial Intelligence Segmentation Errors in Implant Planning Software Programs: An Overview
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DOI：10.1111/cid.70095.png)
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Abstract
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Static computer-assisted implant surgery (s-CAIS) utilizes 3D imaging data to guide implant placement with high precision. Accurate segmentation of CBCT and intraoral scan data is crucial to creating reliable anatomical models. While AI-driven segmentation has emerged as a promising solution to reduce manual workload, its performance is hindered by technical and algorithmic limitations.
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