Abstract

Current and Predictable Clinical Applications of Artificial Intelligence to Treat Impacted Canines

by Retrouvey Jean Marc

Digital technologies in Dentistry have evolved very rapidly and new software have emerged to help the clinician plan and execute even more predictable orthodontic treatments. These technologies are also very valuable in interdisciplinary care as the creation of a virtual patient facilitates communication and allow the treating team to simulate different scenarios of treatment and adapt these to the patient's oral condition and expectations. Using cone beam data and STL from intra oral scans, the presentation will concentrate on showing simple methods to segment and fuse the DICOM-STL data to create a single folder for each patient. These files may then be uploaded to different software for further manipulation. This lecture will showcase the Blender environment a powerful opensource software to create the virtual patient file folder which can then be used for simulations and other applications. This lecture will also concentrate on presenting the latest technologies and their applications to the busy clinical environment.

Learning Objectives

After this lecture, you will be able to understand the importance of fusion segmentations of 3D files to create a virtual patient
After this lecture, you will be able to use software to create simulations of treament in an interdisicplinary approach
After this lecture, you will be able to create a virtual patient form DICOM and STL files.