
This study developed and validated an AI-powered tool based on a convolutional neural network (CNN) for automatic segmentation of root canals in single-rooted teeth using cone-beam computed tomography (CBCT). The tool showed high accuracy (Dice similarity coefficient 89-93%) and efficiency, significantly outperforming manual segmentation in both accuracy and time. The AI method reduced segmentation time by 54 times compared to human segmentation, demonstrating its potential for clinical applications.
Like
Save
Share