Frontiers in Oral Health
Validation of a commercial intraoral auto-segmentation algorithm against expert-annotated clinical data with comparison to a transparent algorithm
Introduction Artificial intelligence (AI)-based tooth segmentation has the potential to improve the efficiency and consistency of digital clinical workflows; however, the generalizability of commercially available algorithms on clinical datasets and their interpretability remain limited. Methods This study proposed a two-level evaluation method. It evaluated the performance of a black-box commercial algorithm using an expert-annotated clinical reference dataset of 126 intraoral scans representing diverse clinical p …