Orthoselect
Enhancing Treatment Planning Procedures with AI-driven Technologies
The Challenge
Variations in tooth shapes, misalignments, and occlusions—these are just some of the challenges orthodontists face when creating accurate 3D models of patients’ teeth.
To achieve greater clinical efficiency, OrthoSelect wanted to provide orthodontists with a custom solution. However, they faced one major challenge—developing a desktop application capable of improving treatment outcomes.
Creating a deep learning model from scratch required an iterative training process, which was time-consuming—yet essential—for developing a robust and reliable AI system.
The Vision
OrthoSelect recognized the importance of leveraging advanced technology to create a solution that shortened bonding appointments and reduced bracket repositioning. Their goal was to develop an integrated software and hardware solution that was capable of improving treatment outcomes.
This is where the idea of DIBS AI—a platform that automates orthodontic case setups, predicts outcomes based on bracket placement, and delivers highly accurate, 3D-printed bracket transfer appliances—came to life.
The Scopic Solution
With support from Scopic and other developers, OrthoSelect developed its flagship product, DIBS AI, which began with heuristics and has since evolved to incorporate AI and deep learning.
With a strong focus on an AI-driven approach, our team implemented AI-powered teeth segmentation, an iterative training process, and automated workflow enhancements—such as using AI to remove excess tissue, correct scan imperfections, and improve bracket placement.
By utilizing advanced, patent-pending software and the latest in 3D-printing technology, OrthoSelect achieved micro-level precision in indirect bonding and bracket transfer trays. The integration of AI significantly enhanced OrthoSelect’s treatment planning capabilities, resulting in improved accuracy, increased efficiency, and better patient outcomes and satisfaction.
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