Task: Plan the implant treatment for the replacement of teeth 16 (Universal 3) and 17 (Universal 2), reduce the time required for surgical template fabrication, and improve the accuracy of its fit. Using the “STL” module of Diagnocat, it is possible to create a 3D reconstruction of cone-beam computed tomography (CBCT) and virtual models of templates. To achieve this, intraoral scan data is uploaded into the module, and a suitable CBCT is selected for merging.
Problem:In some clinical cases, it’s difficult to ensure the required accuracy in merging intraoral scanning and CBCT.
Solution: Diagnocat AI provides an advanced solution for identifying CBCT structures using machine learning and artificial intelligence technologies. By combining STL and DICOM data in a unified coordinate system, Diagnocat minimizes errors when creating template models.
