109
109 Real Cases Validated
6
6 AI Modules
10min
10-min Analysis
CNU
CNU Joint Research
Trusted by Clinicians
AI Validated in Clinical Practice
“Edentulous denture design time has been reduced from 3 days to 10 minutes.”
Prof. Chan Park
Chonnam National University School of Dentistry
AI Denture Design
Upload an IOS oral scan and AI automatically designs a complete denture in 10 minutes. From landmark detection to tooth arrangement and denture base generation — fully automated.
- Complete denture from a single IOS scan
- Prosthodontic occlusion principles applied
- 3D-printable STL instant export
How It Works
From IOS scan upload to finished denture, AI automates the design in 4 steps
Upload IOS Scan
Upload the STL file from an intraoral scan of the edentulous patient
AI Landmark Detection
Automatically detects gingival ridges and anatomical landmarks
Auto Tooth Arrangement
Places 28 teeth according to prosthodontic occlusion principles
Complete Denture
Combines denture base and teeth into a 3D-printable STL file
Patient Data Protection
Transit encryption (TLS), audit logs, automatic PHI de-identification on upload
Ready in 10 min
90%+ time reduction compared to manual workflow
95% Accuracy
AI model validated with 64 clinical case pairs
Implant Detected
Osstem TS III
Ø4.0 × 10mm · Confidence 94.2%
Compatible Components
Transfer · Healing · Cover screw
Implant Identification AI
Upload panoramic X-rays and AI automatically detects placed implants, identifying their brand and model. Matches against a curated library of 22 major brands and 36 models with clinical-grade accuracy.
- Auto-detect implants from X-ray
- Brand & model identification (Osstem, Neobiotech, etc.)
- Compatible components & specifications matching
TMJ Analysis
Upload a CT scan and AI automatically segments the bilateral TMJ condyles and fossae, quantitatively analyzes joint space (AJS/SJS/PJS) and condylar volume, and measures left-right asymmetry for TMJ disorder diagnosis.
- Automatic bilateral condyle-fossa segmentation & 3D visualization
- Quantitative AJS/SJS/PJS joint space analysis
- Automatic asymmetry measurement with normal/abnormal classification
3D Labeling Tool
Open 3D mesh files (STL/OBJ) directly in your browser and mark anatomical landmarks with points, curves, and shapes. Manage large datasets systematically with project-based organization and export results as JSON.
- Label 3D meshes directly in browser — no installation needed
- 3 annotation tools: point, curve, and closed shape
- Project-based data management with JSON export
CT Tooth Separation
AI automatically separates the mandibular jaw and teeth (including roots) from CT/CBCT data and extracts individual STL files. A clinically validated 3D segmentation engine isolates 5 structures — upper skull, mandible, upper/lower teeth, and mandibular canal — at sub-millimeter precision.
- Automatic 5-structure segmentation from CT/CBCT NIfTI files
- Individual tooth STL extraction with automatic FDI numbering
- Batch mode for processing multiple patients at once
