Over the past two decades, CBCT technology has transformed the way clinicians diagnose, plan, and deliver treatment across nearly every area of dentistry.
Today, cone beam imaging plays a critical role in:
Modern CBCT systems provide an incredible amount of diagnostic information. However, preparing that data for advanced digital workflows can still be one of the most time-consuming parts of the process.
That’s where AI-assisted CBCT segmentation is beginning to change the conversation.
Through Voxel AI Lab, powered by a partnership between Voxel Dental and Relu AI, practices can now explore AI-powered segmentation workflows designed to simplify digital treatment preparation and accelerate planning processes.
CBCT segmentation is the process of digitally isolating anatomical structures within a cone beam scan to create more usable 3D datasets for treatment planning and workflow integration.
Depending on the application, segmentation may involve:
Segmentation helps convert raw imaging data into actionable information that clinicians can use throughout digital workflows.
As digital workflows become more advanced, CBCT data is increasingly connected to:
However, preparing imaging data manually can require significant time and technical expertise.
For many practices, segmentation workflows may involve:
That preparation time can slow down workflow efficiency and create additional bottlenecks between imaging and treatment execution.
AI-assisted segmentation helps simplify many of these traditionally manual tasks.
Instead of spending large amounts of time manually preparing CBCT data, practices can use AI-powered workflows to accelerate segmentation and move more quickly into planning and production stages.
The goal is not to replace clinical decision-making.
Instead, AI helps reduce repetitive digital preparation so clinicians and teams can focus more on diagnosis, treatment planning, and patient care.
Potential workflow advantages include:
One of the most exciting applications of AI-assisted segmentation is digital implant planning.
Modern implant workflows increasingly rely on the integration of:
AI-assisted segmentation may help simplify the preparation stages that connect these workflows together.
As guided surgery adoption continues growing, efficient imaging workflows become increasingly important for practices seeking:
Historically, advanced segmentation workflows were often limited to:
Voxel AI Lab helps bring AI-assisted workflow automation into private practice through a flexible pay-as-you-go model designed to make advanced digital workflows more approachable.
That accessibility allows practices to begin exploring AI-assisted imaging workflows without:
As digital dentistry continues evolving, imaging is becoming increasingly connected to every stage of treatment planning and production.
The next major advancement may not simply be acquiring more imaging data — it may be improving the efficiency of the workflows built around that data.
AI-assisted segmentation represents an important step toward:
For practices already investing in:
AI-powered workflow automation may become an increasingly valuable part of the modern digital practice.
Voxel AI Lab currently offers AI-powered workflow tools for applications including:
New users who create an account at: voxeldental.ai receive 50 free AI design credits to explore the platform firsthand.