Innovative AI Tool Enhances Pulp Cavity Segmentation in Mandibular Molars on CBCT Images

Posted: November 21, 2024
An AI-driven tool for automated segmentation of the pulp cavity system in mandibular molars on CBCT images was developed and validated, achieving high accuracy and time efficiency. The tool showed a Dice similarity coefficient of 88% ± 7% for first molars and 90% ± 6% for second molars. Automated segmentation proved faster than manual segmentation, with significant time savings. This innovation enables precise 3D modeling, enhances minimal-invasive endodontics, improves efficiency in endodontic workflows, and aids in anticipating complications.

This article summary was generated by AI. To view the full article, click the link here: https://pubmed.ncbi.nlm.nih.gov/39570431/
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