A software platform to automatically screen for vertebral compression fractures.
Official title: Software Platform for Automatic, Opportunistic Screening of Vertebral Compression Fractures
Funded at Biosensics, LLC · NIH-11222368 · Data updated 2026-11-12
This study is creating an easy-to-use online tool that helps doctors quickly spot spine fractures in patients with osteoporosis, so they can catch and treat these injuries early, even if the patients aren't showing any symptoms.
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 | September 1, 2024 |
| Project end | August 31, 2025 |
| Funding year | 2025 |
| Award (this year) | $50,000 |
| NIH project number | 3R44AG084327-02S1 |
| Project ID | NIH-11222368 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are older adults who have undergone CT scans of the spine and may be at risk for osteoporosis or vertebral fractures.
✕Less likely to help
Patients who are younger and do not have risk factors for osteoporosis or vertebral compression fractures may not benefit from this research.
What this research studies
This research aims to develop a cloud-based software platform that automatically analyzes CT images of the spine to identify vertebral compression fractures (VCFs) in patients. By flagging CT studies that indicate osteoporosis or vertebrae at risk for fracture, the platform helps clinicians to proactively consider further screening for VCFs. This approach addresses the significant underdiagnosis of VCFs, as many cases are asymptomatic and go unnoticed. The goal is to improve patient outcomes by facilitating timely diagnosis and management of these fractures.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and treatment of vertebral compression fractures, reducing pain and improving quality of life for patients.
How similar studies have gone: Other research has shown success with automated imaging analysis for detecting various medical conditions, indicating that this approach has potential for effectiveness.
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.