An app that predicts how to treat forearm fractures in children.
Official title: AI Enabled App for Fracture Reduction Prediction in Pediatrics
Funded at Mira Medical, LLC · NIH-11006176 · Data updated 2026-11-12
This study is testing a new app that helps doctors treat kids with forearm fractures by using X-ray images and other information to give better treatment advice, making it easier for families and reducing the need for extra trips to specialists.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mira Medical, LLC NIH-funded |
| Lab location | 1 site (Potomac, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $306,858 |
| NIH project number | 1R41AR084997-01 |
| Project ID | NIH-11006176 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children aged 0-11 years who are suspected of having forearm fractures.
✕Less likely to help
Patients with fractures other than forearm fractures or those outside the pediatric age range may not benefit from this research.
What this research studies
This research focuses on developing a machine learning application designed to improve the management of forearm fractures in pediatric patients. By analyzing clinical presentations and X-ray images, the app aims to provide accurate treatment recommendations, helping healthcare providers make timely decisions. The goal is to reduce unnecessary transfers to specialized pediatric care and streamline the treatment process for children with suspected fractures. This innovative approach seeks to enhance the overall quality of care for young patients experiencing these injuries.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and timely treatment for children with forearm fractures, reducing complications and improving recovery outcomes.
How similar studies have gone: Other research has shown success in using machine learning for medical diagnostics, indicating potential for this novel approach in pediatric fracture management.
Where this research is happening
-
Mira Medical, LLC
Potomac, United States Active
Researchers
- Principal investigator: Cleary, Kevin R. — Mira Medical, LLC
- Study coordinator: Cleary, Kevin R.
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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.