Improving 3D imaging analysis for dental and facial surgeries
Official title: CraniaMap: Joint Solution for Auto-Segmentation and Landmarking from CBCT Scans
Funded at Ther-Ai LLC · NIH-11006192 · Data updated 2026-11-12
This study is testing a new software called CraniaMap that helps doctors better analyze 3D scans of your head and face, making it easier for them to plan orthodontic and facial surgeries, especially when dealing with unique anatomical features.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ther-Ai LLC NIH-funded |
| Lab location | 1 site (Kissimmee, UNITED STATES) |
| Project start | April 1, 2025 |
| Project end | December 31, 2025 |
| Funding year | 2025 |
| Award (this year) | $306,633 |
| NIH project number | 1R43DE034322-01 |
| Project ID | NIH-11006192 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients requiring orthodontic treatment or craniomaxillofacial surgeries who would benefit from enhanced imaging analysis.
✕Less likely to help
Patients who do not require surgical intervention or imaging analysis for orthodontic or craniomaxillofacial conditions may not benefit from this research.
What this research studies
This research focuses on enhancing the analysis of cone beam computed tomography (CBCT) scans, which are crucial for planning orthodontic and craniomaxillofacial surgeries. The team at Ther-AI LLC is developing a software called CraniaMap that utilizes advanced artificial intelligence to improve the accuracy and efficiency of auto-segmentation and landmarking in these scans. By addressing the challenges of managing complex 3D data, this project aims to provide healthcare professionals with better tools for personalized patient care and treatment planning. The approach includes using a self-supervised learning model to improve segmentation performance, particularly in cases with anatomical variations.
Why it matters
Potential benefit: If successful, this research could lead to more precise and efficient surgical planning, ultimately improving patient outcomes in orthodontics and reconstructive surgeries.
How similar studies have gone: Previous research has shown promise in using AI for medical imaging, indicating that this approach could lead to significant advancements in the field.
Where this research is happening
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Ther-Ai LLC
Kissimmee, United States Active
Researchers
- Principal investigator: Han, Wade — Ther-Ai LLC
- Study coordinator: Han, Wade
Related research
Other NIH-funded projects on the same topics.
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An app that uses AI to help detect eye misalignment in children and adults.
This study is testing a new smartphone app called iLIGN that helps anyone easily check for strabismus, a condition where the eyes aren't aligned, so that people can get early help and avoid future vision problems.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.