Accuracy of artificial intelligence-based segmentation of the mandibular canal in CBCT.

Panagiotis NtovasLaurent MarchandMatthew FinkelmanMarta Revilla-LeónWael Att

Published in: Clinical oral implants research (2024)

The experience of the clinician had a significant influence on the accuracy of mandibular canal's localization. An AI-driven segmentation of the mandibular canal constitutes a time-efficient and reliable procedure for pre-operative implant planning. Nevertheless, AI-based segmentation results should always be verified, as a subsequent manual refinement of the initial segmentation may be required to avoid clinical significant errors.

Keyphrases

artificial intelligence
deep learning
convolutional neural network
big data
machine learning
cone beam computed tomography
emergency department
magnetic resonance
contrast enhanced
image quality