Three-dimensional U-Net-based segmentation of the maxillary incisive canal on cone-beam computed tomography.

Researchers trained a 3D artificial intelligence model to automatically identify and outline the maxillary incisive canal on cone-beam computed tomography images, achieving high accuracy and completing segmentation in approximately 11 seconds compared to over 30 minutes for manual tracing.

A plain-English summary of the study's own findings — we don't add our own claims or interpretation. Read the full paper for the complete methods and results, and apply your own clinical judgement.