AI Algorithm Detects Second Mesiobuccal Canal in Maxillary First Molars on CBCT Images

Posted: September 8, 2025
A new AI algorithm has been developed to detect and segment the second mesiobuccal canal (MB2) in maxillary first molars on cone beam computed tomography (CBCT) images. The algorithm utilizes a two-step approach, involving a classification model based on a customized CNN and a segmentation model based on U-Net. The model achieved high accuracy with an F1 score of 0.93, testing accuracy of 0.87, recall of 1.0, and precision of 0.87. The segmentation accuracy, measured by the Dice-coefficient, was 0.79 in testing. The study demonstrates the potential of AI in improving the detection and segmentation of intricate dental structures like the MB2 canal, offering promise for enhanced clinical outcomes in endodontic procedures. Current Controlled Trial Number NCT05340140. April 22, 2022.

This article summary was generated by AI. To view the full article, click the link here: https://pubmed.ncbi.nlm.nih.gov/40926256/
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