Case Study: OrthoSelect achieves more accurate orthodontic treatment planning with Scopic's AI-powered DIBS AI

A Scopic Case Study

Preview of the OrthoSelect Case Study

OrthoSelect improves orthodontic treatment planning with Scopic using 1,200 labeled datasets

OrthoSelect, an orthodontics technology company founded in 2004, faced the challenge of developing a desktop application capable of generating precise 3D models of patients' teeth. This required building a robust deep learning model from scratch, an iterative and time-consuming process. To enhance their treatment planning procedures, they collaborated with the vendor Scopic.

Scopic implemented an AI-driven solution that included deep learning for accurate teeth segmentation and an iterative training process. The result was the development of OrthoSelect's DIBS AI platform, which automated case setups and significantly improved the accuracy of orthodontic treatment plans. Scopic's solution increased efficiency by reducing manual intervention and enhanced the user experience for orthodontists, freeing up valuable doctor and staff time while reducing overall treatment time.


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