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Case Study
Web-based Aligner Treatment Platform

Web-based Aligner Treatment Platform

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Web-based Aligner Treatment Platform

The orthodontic industry is undergoing a digital transformation, driven by the need for greater accessibility, efficiency, and precision in aligner treatments. Traditional workflows for designing teeth aligners are time-consuming, require specialized software installations, and depend heavily on manual intervention.

The client sought a cloud-based, web-enabled solution that allows orthodontists and clinicians to create, review, and customize aligner treatment plans seamlessly, without any installation or setup. The solution needed to be highly accurate, time-efficient, and flexible.

Solution

  • A web-based online aligner technology platform was developed by leveraging AI and ML algorithms to automatically generate an optimized aligner treatment plan using patient data such as intra-oral 3D scans and X-rays.
  • It is a fully cloud-hosted platform, eliminating installation requirements.
  • It automates alignment, segmentation, and staging of treatment sequences.
  • It supports 3D visualization of dental scans from all angles.
  • Also provides ability for orthodontists to review, refine, and customize AI-generated plans.
  • The system provides a balance between automation and clinical control, ensuring both efficiency and precision in treatment planning.
Product Features
  • AI-Driven Treatment Planning
    • Automatically processes 3D intraoral scans and X-rays
    • Generates complete aligner treatment sequences with minimal manual effort
  • Advanced 3D Visualization
    • Enables clinicians to view scans from multiple angles
    • Improves diagnosis and treatment accuracy
  • Smart Segmentation with Manual Override
    • AI performs automatic teeth and gum segmentation
    • Clinicians can manually refine segmentation boundaries for accuracy
  • Orientation and Alignment Tools
    • Displays a maxillary guide (ideal orientation) alongside the uploaded scan
    • Provides intuitive tools to
      • Rotate
      • Translate
      • Align uploaded scans to match ideal orientation
  • Precision Control with Landmark Points
    • Dentists can define occlusal and facial surface points
    • These points guide the algorithm to determine optimal tooth movement paths
  • Teeth Classification & Control Tools
    • "Mark Stationary Teeth Tool" allows classification of:
      • Stationary teeth
      • Movable teeth
      • Missing teeth
      • Restricted movement teeth
  • Staging and Treatment Sequencing
    • AI generates complete step-by-step staging of treatment
    • Interactive interface includes:
      • Slider to view each stage
      • Editable table for fine-tuning movement and rotation of individual teeth
    • Enables complete custom modification of treatment paths
  • Intuitive User Experience
    • Lightweight, web-based UI
    • Designed to eliminate redundant and complex workflows
    • Accessible from anywhere, ensuring high portability
Key Technical Achievements
  • End-to-End Automation: Successfully automated teeth alignment, segmentation and treatment staging. Reduced manual workload significantly
  • Integration of AI & Machine Learning: Implemented ML models for accurate segmentation, predictive tooth movement and optimized treatment sequencing
  • Performance & Efficiency: Delivered results faster than traditional software workflows by reducing treatment planning time for orthodontists
  • Fully Web-Based Architecture: Eliminated dependency on local installation, high-end hardware while ensuring scalability and easy access
  • High Precision with Human-in-the-Loop: Combined AI automation with clinician expertise and enabled manual overrides and fine-grained control over treatment
  • Improved Clinical Outcomes: Better visualization and control led to more accurate treatment plans and higher predictability of results
  • Seamless User Experience: Designed an intuitive UI/UX for complex clinical workflows by simplifying traditionally complicated orthodontic processes
Technology Used
  • React JS, Babylon JS, Python
  • AWS Cognito, AWS Lambda, AWS SQS, SNS