Lecture Description
Orthodontic diagnosis is a primary step to orthodontic treatment. After the acquisition of patients' anatomical and biological information, a problem list is generated and a treatment plan is established. After diagnosis, the patient’s dental model may be used to simulate the orthodontic treatment by separating each tooth from the arch and rearranging them in the desired position, which will serve as a visual treatment objective. Traditionally, this task has been performed using plaster casts, dissecting each tooth from the plaster model and repositioning them using dental wax. Although this process provides the orthodontist insight into the possibilities and limitations of treatment, creating a diagnostic setup model from a dental plaster model is tedious and time-consuming.
Since the advent of intraoral scanners, instead of using the dental plaster model, intraoral scan data can be manipulated to perform digital tooth setup. After acquiring the full arch scan data of patients, teeth are segmented and repositioned to the desired position using the 3D CAD software. It is more efficient, as it eliminates the process of making plaster models, and it has been reported as effective and accurate as the conventional method. However, there is still much work required in the digital space to perform the virtual setup, such as tooth segmentation, setting the occlusal plane, and adjusting the tip, torque, and rotation of each tooth.
This presentation summarizes the latest artificial intelligence technologies introduced for the automation of digital setup procedures and provides a brief review of the automated setup softwares in the market.
October 28-30, 2022 กค COEX, Seoul, Korea