Dental Condition Prediction Using Time-Series 3D Tooth Models

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Solution Overview

Problem

Current methods lack effective prediction tools for the development of dental conditions such as tooth wear and gingiva recession over time, making it difficult for dentists to inform patients about potential future issues and recommend timely preventive measures.

Innovation Solution

A method using digital 3D representations of teeth obtained at different points in time to derive a formula expressing the development of dental conditions as a function of time, allowing for the prediction of future changes and the identification of critical thresholds, thereby enabling informed decision-making on preventive actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If digital 3D representations are obtained at multiple time points to predict dental condition development, then prediction accuracy is improved, but time consumption and measurement complexity increase

Engineering Contradiction:
Improveprediction accuracyVSAvoidtime consumption
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by obtaining digital 3D representations at multiple time points before the dental condition reaches a critical state. This allows the prediction model to be trained in advance with historical data, enabling accurate forecasting of future development without requiring extensive time when actual treatment becomes urgent.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates digital 3D copies (virtual models) of the patient's teeth at different time points. These digital copies serve as data inputs for the prediction algorithm, allowing multiple measurements and analyses without requiring repeated physical interventions or delaying treatment decisions.

Inventive Principle:
Principle #26Copying

2Measurement precision

If digital 3D representations are obtained at multiple time points to predict dental condition development, then prediction accuracy is improved, but the complexity of the diagnostic process increases

Engineering Contradiction:
Improveprediction accuracyVSAvoiddiagnostic process complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The digital 3D scanning system serves multiple functions: it captures geometric data, tracks changes over time, and provides input for prediction algorithms. This multi-functional approach consolidates what would otherwise require separate diagnostic procedures into a single comprehensive tool, reducing overall diagnostic complexity while maintaining high prediction accuracy.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The digital 3D representation acts as an intermediary between the physical dental condition and the prediction algorithm. By converting complex physical measurements into standardized digital models, the system simplifies the interface between data collection and analysis, making the diagnostic process more manageable despite the multiple time points involved.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If digital 3D representations are obtained at multiple time points to predict dental condition development, then future development can be predicted, but the quantity of data to be processed increases

Engineering Contradiction:
Improveprediction reliabilityVSAvoiddata volume
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The system extracts only the relevant features and parameters from the complete digital 3D representations that are necessary for predicting dental condition development. By identifying and isolating the critical change indicators (such as enamel thickness, gingival margin position), the system reduces the data volume while preserving the information needed for reliable predictions.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The diagnostic process is segmented into distinct stages: data collection at multiple time points, feature extraction from 3D models, and prediction analysis. This segmentation allows the system to process large volumes of raw 3D data by breaking it down into manageable components, reducing the overall data processing burden while maintaining prediction reliability.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20240197446A1Predicting the development of a dental condition
Publication Date: 2024.06.20 3SHAPE AS
  • US20240197446A1 patent drawing
  • US20240197446A1 patent drawing
  • US20240197446A1 patent drawing

AI summary

Disclosed is method, a user interface, a computer program product and a system for predicting future development of a dental condition of a patient's set of teeth, wherein the method comprises: —obtaining two or more digital 3D representations for the teeth recorded at different points in time; —deriving based on the obtained digital 3D representations a formula expressing the development of the dental condition in terms of at least one parameter as a function of time; and—predicting the future development of the condition based on the derived formula.