Dental Arch Image Analysis for Remote Aligner Fit Assessment

The patent applies preliminary action by creating a learning base in advance containing historical dental images with manually annotated tooth zones and attributes. This pre-prepared training data enables the deep learning device to perform rapid automatic analysis without requiring complex real-time processing, thus improving productivity while managing device complexity through upfront preparation.

The patent uses copying by creating digital replicas of dental arch images and their associated annotation data in the learning base. These copied historical images serve as training examples that teach the deep learning device to automatically identify tooth zones and attributes, enabling fast automatic analysis without requiring the device to manually process each new image from scratch.

The patent applies self-service by enabling the deep learning device to automatically analyze dental images without requiring orthodontist intervention for each case. The device independently identifies tooth zones, determines tooth attributes, and produces analysis results, thereby eliminating patient waiting time while maintaining precision through the accuracy of the trained model.

The patent replaces the mechanical system of manual orthodontist analysis with an automated deep learning system. The neural network processes images and extracts tooth information automatically, substituting human manual measurement and annotation with algorithmic processing that maintains precision while dramatically reducing analysis time.