Orthodontic Treatment Planning From Scan Data With Automated Problem Detection

The automated orthodontic treatment plan generation system is divided into distinct functional modules: data acquisition module (intraoral scanner, skeletal CT), data processing module (element data generation), analysis module (problem item identification), planning module (treatment objective generation), and output module (control signal generation). Each module performs a specific function, allowing the complex system to operate efficiently through modular architecture while maintaining high productivity.

The system incorporates multiple feedback mechanisms to ensure reliability while maintaining ease of operation. The data processing module provides feedback on data quality and completeness, the analysis module feedback on identified problem items, and the planning module feedback on treatment objective feasibility. This multi-stage feedback system allows automated processing to maintain high reliability without requiring continuous user intervention, as the system self-verifies at each processing stage.

The system performs preliminary data processing and organization before detailed analysis. The data processing module pre-processes scan data into structured element data with defined formats and classifications. This preliminary action organizes raw data into meaningful structures (tooth models, anatomical landmarks, measurement points) that can be quickly analyzed, thereby maintaining high measurement precision while reducing the time required for comprehensive data analysis.

The system merges multiple data types (intraoral scan data, skeletal CT data, element data) into a unified treatment plan through the data processing and analysis modules. These modules integrate diverse data sources by converting them into compatible formats and coordinating their analysis, achieving complete treatment planning without proportionally increasing system complexity through efficient data fusion techniques.