Shizhu Bai

Abstract Tooth autotransplantation requires recipient socket preparation that matches donor root morphology while preserving surrounding bone. We developed an autonomous multi-axis robotic system that executes nonlinear, surface-conforming milling trajectories to create a geometry-matched socket and compared it with a static tooth-supported guide in forty 3D-printed mandibular models representing single-rooted and double-rooted anatomies.

Abstract Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy.