AI Dental Image Analysis Correlating Genomic Data
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Solution Overview
Problem
Current technologies lack the capability to generate dental treatment and product recommendations based on dental image processing, and do not facilitate e-commerce transactions between dental professionals, healthcare providers, and other stakeholders effectively.
Innovation Solution
An AI system processes dental images using deep neural networks to match and identify anatomical and pathological landmarks, generating real-time confidence scores for treatment and product recommendations, and enabling e-commerce transactions through a communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deep neural networks are used to process dental images for generating treatment recommendations, then diagnostic accuracy and recommendation reliability are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system segments the complex diagnostic process into distinct modules: dental image processing module, genomic data analysis module, and recommendation generation module. Each module handles specific tasks independently, reducing overall system complexity while maintaining diagnostic accuracy through specialized processing at each stage.
Solution Approach 2:
The patent introduces an intermediary processing layer that bridges dental image analysis and genomic data correlation. This intermediary module translates complex image features into standardized formats that can be correlated with genomic datasets, simplifying the integration process and reducing computational burden on the overall system.
2Productivity
If real-time processing of dental images and genomic data is implemented, then treatment recommendation speed is improved, but computational power requirements and energy consumption increase
Solution Approach 1:
The system performs preliminary processing of dental images and genomic data in advance, preparing feature extracts and standardized datasets before actual diagnosis. This pre-processing step reduces the computational load during real-time processing, enabling faster recommendations with lower energy consumption during critical diagnostic moments.
Solution Approach 2:
The patent applies different processing qualities to different data elements: high-resolution processing for critical diagnostic features in dental images, and optimized processing for genomic data correlation. This localized quality approach ensures accurate results where needed while reducing overall energy consumption by not uniformly applying maximum processing power to all data.
3Reliability
If comprehensive genomic data correlation is performed with dental images, then health risk assessment accuracy is improved, but data processing time and system complexity increase
Solution Approach 1:
The system extracts and correlates only the most relevant genomic data markers with dental image findings, rather than processing entire genomic datasets. This selective extraction approach maintains health risk assessment accuracy by focusing on critical correlations while significantly reducing data processing time and system complexity.
4Adaptability or versatility
If an integrated system combining dental imaging and genomic analysis is developed, then diagnostic comprehensiveness is improved, but ease of operation and implementation difficulty worsen
Solution Approach 1:
The patent designs the system with universal interfaces and standardized data formats that can handle multiple types of dental images and genomic datasets through a single integrated platform. This multi-functionality approach enables comprehensive diagnostic capabilities while simplifying operation through consistent interaction methods across different data types and analysis modes.
Data Source
AI summary
The field of the invention relates to a system to provide artificial intelligence processing of a dental image for determining a relative health risk, i.e. the probability of getting a human disease based on dental x-ray pathologies. The dental image or image (received from a source such as an x-ray, a camera, or an image capturing device) may be matched to a known computer stored genomic pathology dataset, such as a DNA dataset or a RNA dataset. Anatomic variances on a dental x-ray, such as periodontitis (bone disease associated with teeth), can be matched and identified to a known genomic pathology dataset, such as a diabetes DNA dataset, by an artificial intelligence system to produce at least one of: a relative pathology health risk, a treatment recommendation, a product recommendation for an individual patient.