Our Research Projects

Advancing dental imaging through artificial intelligence and computer vision

Featured Projects

Explore our cutting-edge research initiatives in AI-powered dental imaging technologies

SmartCeph

An AI-powered cephalometric analysis platform that automates landmark detection with clinical-grade accuracy.

Key Features:

  • Automated landmark detection
  • Deep learning with EfficientNet architecture
  • 97.2% success rate within clinical thresholds
  • Reduced analysis time from minutes to seconds
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AI-Assisted Intraoral Stereophotogrammetry

Research on 3D modeling using simple intraoral cameras enhanced by AI algorithms.

Research Highlights:

  • Low-cost alternative to expensive scanners
  • Up to 92% overlap with reference models
  • AI-enhanced feature detection and matching
  • Democratizing access to 3D dental modeling
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Research Impact

Time Efficiency

Our AI solutions reduce analysis time by up to 95%, allowing clinicians to focus more on patient care.

Improved Accuracy

AI-powered analysis eliminates inter-observer variability and achieves clinical-grade precision.

Global Access

Our research aims to democratize access to advanced dental imaging technologies in underserved regions.

Research Methodology

Data Collection & Processing

  • Large-scale datasets of cephalometric radiographs
  • Video sequences from multiple intraoral cameras
  • Standardized acquisition protocols
  • Data augmentation for robust model training

AI Technologies

  • Deep learning with EfficientNet architectures
  • Computer vision algorithms (SIFT, ORB)
  • Structure from Motion (SfM)
  • GPU-accelerated processing pipelines

Validation Methods

  • Mean Pixel Error (MPE) for landmark detection
  • Success Detection Rate (SDR) at clinical thresholds
  • 3D model overlap percentage with reference scans
  • Clinical validation by orthodontic specialists

Future Research Directions

  • Integration of GANs for synthetic data generation
  • Multi-modal learning from different imaging sources
  • Reinforcement learning for adaptive processing
  • Edge computing for real-time analysis

Interested in Our Research?

Learn more about our ongoing projects or explore collaboration opportunities.

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