Evaluating Tooth Segmentation Accuracy and Time Efficiency in CBCT Images using Artificial Intelligence: A Systematic Review and Meta-analysis

This systematic review and meta-analysis aimed to assess the current performance of artificial intelligence (AI)-based methods for tooth segmentation in three-dimensional cone-beam computed tomography (CBCT) images, with a focus on their accuracy and efficiency compared to those of manual segmentation techniques.