Using AI to detect hip bone fragility from X-ray images
Official title: Automatic, Opportunistic Surveillance of Hip Bone Fragility in X-ray Images
Funded at Biosensics, LLC · NIH-10884793 · Data updated 2026-11-12
This study is testing a new software called XFx that helps doctors quickly check if someone is at risk for hip fractures by looking at their X-ray images, making it easier and safer for patients to get early warnings about their bone health.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Biosensics, LLC NIH-funded |
| Lab location | 1 site (Newton, UNITED STATES) |
| Project start | June 1, 2023 |
| Project end | February 28, 2026 |
| Funding year | 2024 |
| Award (this year) | $50,000 |
| NIH project number | 3R44AG081031-02S1 |
| Project ID | NIH-10884793 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals over the age of 50, particularly those at risk for osteoporosis and fragility fractures.
✕Less likely to help
Patients under the age of 50 or those without risk factors for osteoporosis may not benefit from this research.
What this research studies
This research aims to develop a cloud-based software called XFx that automatically screens for hip fracture risk by analyzing plain X-ray images. The software will utilize advanced artificial intelligence techniques to assess bone geometry, microstructure, and density, providing insights into fragility fractures. Patients will benefit from a non-invasive, low-radiation method for early detection of hip fracture risk, which is crucial for timely intervention. The system will include a user-friendly desktop application for healthcare providers to upload X-ray images and receive analysis results.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and prevention of hip fractures, significantly improving patient outcomes and reducing mortality rates.
How similar studies have gone: Other research has shown success in using AI for medical imaging analysis, indicating a promising potential for this novel approach.
Where this research is happening
-
Biosensics, LLC
Newton, United States Active
Researchers
- Principal investigator: Vaziri, Ashkan — Biosensics, LLC
- Study coordinator: Vaziri, Ashkan
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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.