With the continuous advancement of dental medicine and the increasing prevalence of digital technology, occlusal reconstruction has entered a new era characterized by high precision, efficiency, and predictability. This paper focuses on the digital workflow of full-dentition occlusal reconstruction, integrating multimodal data such as intraoral scanning, facial scanning, cone-beam CT, and mandibular movement tracking. By utilizing a domestic artificial intelligence platform, a virtual patient model for oral rehabilitation is established. The workflow encompasses five key stages: preliminary preparation, digital adjustment of jaw relations, transitional restoration verification, definitive restoration, and follow-up maintenance, ensuring the precise realization of treatment objectives. The core advantages of digital technology lie in the efficient integration of multimodal data, visualized treatment planning, and accurate clinical execution. In view of technical limitations, this paper emphasizes data quality control and related challenges. This digital pathway not only significantly enhances the efficacy of occlusal reconstruction, but also optimizes the patient experience, representing an important future direction for restorative dentistry.
Hui Cheng (Wed,) studied this question.