Discover IOF
The International Orthodontics Foundation (IOF) is a not-for-profit organization that serves as a platform for international collaborative innovation.
Academy
Serve as a centralized platform for all online courses, offering a range of educational resources for orthodontic professionals.
Symposium & Events
As a platform for international collaborative innovation, IOF is dedicated to breaking down geographical barriers to make orthodontic advancements accessible to everyone, everywhere.
Research Grants
The Foundation provides researchers with annual Research Grants and Scholarships to support their careers in the fields related to Orthodontics.
Augmented Reality (AR) & Virtual Reality (VR)
in Training Orthodontic Technologies
in Training Orthodontic Technologies
Advanced Innovation Grants Pilot Project
Introduction / Background
This project aligns strongly with the AIG’s focus on translational research and real-world clinical impact. By leveraging AR/VR to enhance orthodontic education and clinical training, it offers a scalable, tech-driven solution that can be rapidly implemented across institutions—bridging innovation with practical application and improving treatment outcomes through better-trained providers.
Goal & Specific Aims
Expand access, enhance precision, and support global orthodontic education through AI technologies.
Working hypothesis
AR/VR can be used to teach residents for TAD placement to become better orthodontists.
Aim 1
Develop a VR-based simulator with haptic feedback for TAD insertion (Dente platform).
Aim 2
Demonstrate the feasibility of building an open-source RMT via academic–industry collaboration.
01 Use AI-driven segmentation of CBCT scans to generate 3D anatomical models with a human skull in a transparent view (DeepCare).
02 Integrate models into the Dente simulator to simulate realistic insertion of TADs with tactile feedback (SimtoCare).
03 Develop real-time AR visualization and interactive elements for trainee feedback under the UNITY platform (SimtoCare).
04 Integrate models into the Dent simulator to simulate realistic insertion of TADs with tactile feedback (SimtoCare).
Preliminary Results, Impact & Future Directions
Preliminary Results
AI auto-segmentation of CBCT images.
VR models with teeth, jaw, and soft tissue
The operator can virtually place TADs with feedback
Early testing shows the feasibility of integration
Future Directions
Broad utility beyond TADs in orthodontic training
Open-source release to ensure global access
Continued refinement based on clinician feedback
Promoting oral healthcare in underserved areas