23 May 2022

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Deep CBCT: What It Is and Why You Should Care

Over the past few years, 3D cone beam computed tomography (CBCT) has become increasingly important in orthodontic diagnosis and treatment planning. 3D imagery has helped orthodontists get an accurate assessment of their patient’s teeth with the goal of cr

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Aligners and Artificial Intelligence

The growing orthodontics market is driving even greater demand for more effective, yet still comfortable, treatment options. Clear aligner manufacturer 3D Predict took the capabilities of 3D imagery to the next level of innovation. Working to boost treatment effectiveness and reduce the number of refinements, the team created software driven by artificial intelligence (AI) called Deep CBCT® Analysis.

Company CEO and Founder Dr. Marina Domracheva adds, “We saw a way to combine clinical experience and cutting-edge AI technology to equip orthodontists with a dental aligner that helps treat even the most complex cases with greater precision and efficiency.”

With Deep CBCT Analysis, orthodontists can effectively straighten teeth while keeping them within the alveolar housing — looking beyond a tooth crown to see the real roots and bone. This AI-driven software creates highly precise 3D models of crowns, bones, and actual roots with every detail of the apex visible so each tooth can be deeply analyzed like never before. By seeing how roots will move versus the bone during treatment, orthodontists are able to achieve more predictable and safe outcomes for patients unlike anything else that’s currently available on the market.

Save Time. See Results.

Deep CBCT Analysis is extremely effective for choosing a correct treatment tactic for bi-protrusion and crowding; it’s very helpful in planning arch expansion, distalization, root torque, and retraction. Our clinical experts studied 1,722 patients with and without Deep CBCT analysis. The team found that Deep CBCT Analysis helped reduce the probability of a mid-course correction or refinement at the end of treatment by up to two times. Statistically, it can shorten the treatment time, which allows doctors to save time for new patients.

Source: https://3dpredict.com/