Intraoral Digital Modeling for Predictive Malocclusion Tracking
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Solution Overview
Problem
Existing methods for identifying and characterizing orthodontic conditions are reactive and lack the ability to proactively predict and visualize subtle changes in a patient's dentition, making it difficult to accurately assess and treat conditions before they become severe.
Innovation Solution
A method involving the use of digital data from multiple time points to generate a predicted digital representation of the intraoral cavity, allowing for the determination of future dental or orthodontic conditions and generating treatment options to address them proactively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual examination is used to identify orthodontic conditions, then the method is simple and quick, but the measurement precision and ability to detect subtle changes are insufficient
Solution Approach 1:
The patent creates digital copies (3D models) of the patient's dentition from scan data, allowing precise measurement and tracking of subtle changes without requiring complex physical measurement devices during examination. The digital model serves as a reproducible copy that can be analyzed repeatedly with high precision.
Solution Approach 2:
The patent replaces manual visual examination with automated image processing and computer-based analysis systems. The mechanical/visual process of human examination is substituted with digital scanning, computational algorithms, and software-based detection methods that provide superior measurement precision.
2Loss of time
If reactive treatment is used to address orthodontic conditions, then the treatment approach is simpler, but the loss of time and treatment difficulty increase
Solution Approach 1:
The patent performs preliminary diagnosis and prediction of future orthodontic conditions by analyzing historical scan data and projecting potential problems before they manifest clinically. This allows treatment planning to begin in advance, reducing the time when conditions are already severe and treatment becomes more complex.
Solution Approach 2:
The patent implements a feedback loop where digital models from multiple time points are compared, changes are detected, and treatment outcomes are monitored. This continuous feedback enables timely adjustments and ensures conditions are addressed before they progress, improving overall treatment efficiency.
3Loss of information
If static views of orthodontic conditions are provided, then the presentation is simple, but the ability to predict future conditions is lost
Solution Approach 1:
The patent transforms static dental models into dynamic predictive representations by implementing algorithms that simulate future tooth movement and condition progression. The system models temporal changes and provides dynamic forecasts of orthodontic outcomes, enabling proactive treatment planning.
Solution Approach 2:
The patent adds a temporal dimension to traditional dental modeling by incorporating time-series analysis of scan data. Instead of merely comparing spatial differences between snapshots, the system analyzes the rate and direction of change over time, projecting future states based on observed trends.
Data Source
AI summary
Methods and systems for predicting a future dental or orthodontic condition(s) are provided. In one aspect, a computer-implemented method for calculating a future position of an intraoral object of a patient's intraoral cavity is provided. The method can include receiving first and second digital data representative of an actual state of the intraoral cavity at first and second time points, evaluating a characteristic of an intraoral object based on the first and second digital data, predicting a future condition of the intraoral object at a third time point, and determining a treatment option to treat the future condition.