Occlusal Analysis AI

Overview

The Orthodontist Occlusion AI Assistant is an advanced AI solution designed to help dental professionals diagnose bite issues, generate orthodontic treatment plans, and track occlusal progress over time. By analyzing 2D and 3D dental scans—including intraoral images, CBCT, and STL files—the system detects malocclusions and automates the next steps in care, from treatment planning to documentation. It combines occlusal precision with orthodontic intelligence, transforming how clinics approach bite correction.

Technologies

Next JS

Pythn

Langchain

SQL

The Challenges

  • Manual Bite Evaluation: Identifying malocclusion types like crossbite, overbite, or crowding requires time-consuming expert review.

  • Fragmented Workflow: Diagnosis, planning, note-taking, and follow-up tracking are often handled through disconnected systems.

  • Repetitive Documentation: Drafting clinical notes and insurance forms takes up valuable clinician time.

  • Unstructured Progress Monitoring: Tracking bite changes and aligner effectiveness lacks automation and standardization.

Our Unique Approach

  • AI-Powered Bite Detection: Automatically analyzes intraoral and facial scans to classify bite types and flag occlusal issues.

  • Dynamic Treatment Planning: Recommends aligner schedules or bracket setups based on malocclusion severity, patient age, and history.

  • Auto Note Drafting: Generates clinical notes, progress summaries, and insurance-ready documentation with embedded visuals.

  • Progress Tracking: Monitors scan updates, aligner changes, and treatment milestones, highlighting deviations from expected outcomes.

  • 2D/3D Imaging Support: Seamlessly processes CBCT, panoramic X-rays, and STL models to extract and visualize key anatomical features.

  • Referral-Ready Reporting: Produces structured reports for specialists, insurers, or patients, including diagnosis, treatment plans, and before/after visuals.

Results

  • Faster and more consistent malocclusion diagnosis
  • Reduced time spent on treatment plan creation and documentation
  • Improved patient compliance through visual progress tracking
  • Seamless integration with dental imaging tools and EHR systems
  • Enhanced collaboration between orthodontists and referring specialists