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AI-based 3D measurement of root canal curvature from CBCT: Validation of an automated Schneider angle analysis
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DOI：10.1016/j.joen.2026.06.007.png)
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Abstract
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Conventional 2D curvature assessment methods are insufficient to capture the complex 3D geometry of root canals. This study aimed to develop and validate a deep learning–based pipeline for automated 3D Schneider angle measurement from cone-beam computed tomography (CBCT) images of mandibular molar mesial roots and to evaluate its agreement with expert manual measurements.
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