Intelligent Algorithm for Intraoral Prosthesis Design
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Solution Overview
Problem
Existing intraoral prosthesis design schemes require extensive expert experience and memorization of numerous cases, limiting junior dental technicians' ability to design qualified products, and fail to consider diverse patient requirements due to specialized design concepts and lack of intelligent recommendation systems.
Innovation Solution
A big data-based intelligent algorithm that establishes a database for intraoral prosthesis design, enabling accurate and fuzzy searches to provide recommendation lists of design schemes, using encoding rules for dentition information and component data to display multiple design concepts in a three-dimensional format, assisting dental technicians in selecting suitable designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If expert experience and case memorization are used for intraoral prosthesis design, then design quality can be maintained, but the learning curve for junior technicians is extremely long and time-consuming
Solution Approach 1:
The system pre-establishes a comprehensive database containing multiple design concepts, expert evaluation criteria, and case knowledge before actual design work begins. This preliminary preparation allows junior technicians to access accumulated expertise immediately without requiring long-term memorization and learning
Solution Approach 2:
An intelligent recommendation algorithm acts as an intermediary between expert knowledge and junior technicians. The algorithm processes design parameters, retrieves relevant design concepts from the database, and provides recommended schemes, thereby mediating the transfer of expert experience without requiring direct human expert involvement in each design case
2Reliability
If dental technicians specialize in one design concept, then they can master it deeply, but they cannot meet diverse patient requirements and have limited design flexibility
Solution Approach 1:
The database system is designed to store and provide multiple design concepts (traditional, modern, aesthetic, functional, etc.) within a single unified platform. Dental technicians can access various design concepts through the intelligent recommendation system, making the system universal and adaptable to different patient requirements without requiring technicians to specialize in only one concept
Solution Approach 2:
The system dynamically adjusts design concept recommendations based on specific patient conditions, design requirements, and evaluation criteria. The recommendation algorithm can flexibly switch between different design concepts and combine multiple concepts according to the actual design situation, providing adaptive and versatile design solutions
3Measurement precision
If comprehensive data search and analysis are performed for each design case, then accurate design recommendations can be provided, but the system complexity and computational requirements increase significantly
Solution Approach 1:
The comprehensive design data is segmented into structured categories including design parameters, anatomical features, material properties, and evaluation criteria. The database organizes information hierarchically with tables, fields, and records that can be independently queried and combined, reducing system complexity while maintaining search accuracy through modular data organization
Solution Approach 2:
The system uses parameter-based searching and filtering where design requirements are expressed as specific parameters (e.g., tooth position, arch form, patient age). The intelligent algorithm processes these parameters to retrieve matching design concepts, transforming complex qualitative design problems into quantifiable parameter comparisons that simplify the search process while maintaining precision
Data Source
AI summary
A big data-based intelligent algorithm for an intraoral prosthesis design scheme establishes an intraoral prosthesis design scheme database based on predetermined data of partially edentulous jaw, and is configured to conduct an accurate search for data of partially edentulous jaw to obtain a recommendation list of an accurate theme and a corresponding design scheme for an intraoral prosthesis design, or conduct a fuzzy search for data of partially edentulous jaw to obtain a recommendation list of a fuzzy theme and a corresponding design scheme for an intraoral prosthesis design. When oriented to a digital design of a removable partial denture, the intelligent system for the intraoral prosthesis design scheme constructed based on this intelligent algorithm displays a large number of intraoral prosthesis design schemes of different design themes to dental technicians in a three-dimensional manner.