Case study – Treatment plan for atraumatic extractions

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Diagnocat

Updated: March 20, 2024
Published: September 15, 2023

Diagnocat AI will help you carefully plan your procedure, such as the removal of teeth 38 (Universal 17) and 48 (Universal 32), minimizing the risk of possible complications

Case study - Treatment plan for atraumatic extractions 1

The 3D reconstruction from CBCT data (STL report Diagnocat) is a convenient tool for determining the level of complexity of the upcoming surgical procedure

Case study - Treatment plan for atraumatic extractions 3

It also serves as a visualization tool during communication with the patient

Case study - Treatment plan for atraumatic extractions 5

“Third Molar Report” created by Diagnocat AI, is a tool which provides accurate tracing of the mandibular canal

Case study - Treatment plan for atraumatic extractions 7

And creating an optimal 3D visualization which helps the clinician to determine the distance to the mandibular canal

Case study - Treatment plan for atraumatic extractions 9

Teeth 38 (Universal 17) and 48 (Universal 32) were extracted with minimal surgical trauma and without causing damage to the inferior alveolar nerve

Case study - Treatment plan for atraumatic extractions 11

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WhatsApp Image 2023-12-15 at 15.08.09
Online workshop
October 17, 2024 |
5:00 pm
(CET)
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