AI-Powered Dental Scan Matching

Accelerating dental restoration with machine learning and 3D scan analysis

A dental laboratory partnered with Go Brilliant to develop an AI-powered solution that analyzes 3D dental scans and automatically recommends similar historical cases, dramatically reducing technician analysis time.

Client Profile

A leading dental laboratory processing hundreds of dental restoration cases monthly, requiring precise analysis and reference to historical cases for optimal outcomes.

The Challenge

Dental technicians faced time-consuming manual processes when analyzing new cases:

Manual Case Matching: Technicians spent significant time manually searching through historical cases to find similar dental scans for reference
Inconsistent Results: Quality and accuracy of case matching varied based on individual technician experience and available time
Slow Turnaround: Extended analysis time delayed the start of restoration work, impacting lab throughput
Limited Reference Utilization: Valuable historical case data underutilized due to difficulty in finding relevant matches
Knowledge Transfer: New technicians lacked easy access to the collective expertise embodied in past cases

Our Solution

Go Brilliant engineered a sophisticated machine learning pipeline that automates 3D scan analysis and case matching:

ML Pipeline Architecture

3D STL File Processing: Automated parsing and preprocessing of dental scan files with orientation correction and normalization
Feature Extraction: Advanced algorithms extracting median-arch geometry, surface characteristics, and anatomical landmarks
Vector Embeddings: Generation of high-dimensional embeddings capturing unique characteristics of each scan
Similarity Matching: Efficient vector search identifying most similar historical cases based on geometric and surface features
Threshold Calibration: Tuned confidence scoring ensuring only relevant matches are recommended
Continuous Learning: Feedback loops for ongoing model improvement based on technician validation

User Interface

Upload and visualize new 3D scans with automated analysis
View recommended matching cases with similarity scores
Side-by-side comparison of current case with historical matches
Access detailed information about recommended cases
Provide feedback to improve future recommendations

Implementation Approach

Processed extensive historical STL file library with orientation correction and normalization
Developed custom feature extraction algorithms optimized for dental anatomy
Built high-performance similarity search engine with optimized indexing
Exposed RESTful APIs and integrated UI components for seamless workflow integration
Implemented feedback mechanisms for continuous model refinement

Technology Stack

Python for ML development, FastAPI for backend services, NumPy for numerical processing, MongoDB for metadata storage, and AWS S3 for 3D file storage.

         Results & Impact
        60% Reduction in Analysis Time: Automated matching eliminated hours of manual case searching per technician
Faster Case Turnaround: Reduced analysis time accelerated overall restoration completion
Improved Restoration Quality: Access to relevant historical cases enhanced technician decision-making
Consistent Results: AI-powered matching provided reliable recommendations regardless of technician experience
Enhanced Knowledge Utilization: Historical case database became a valuable, accessible resource

      

Key Highlights

Sophisticated 3D geometry analysis capturing complex dental anatomy
High-performance vector search enabling sub-second query response
Explainable recommendations building technician trust in AI suggestions
Scalable architecture supporting growing case database
Continuous improvement through feedback-driven model refinement

"Go Brilliant delivered exceptional results with speed, quality, and innovation. The AI scan matching solution transformed our workflow and significantly improved both efficiency and restoration quality."

— Laboratory Director, Dental Technology Company

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