Automated analysis of wounds using advanced imaging and AI technology
Official title: Non-invasive automated wound analysis via deep learning neural networks
Funded at University of Arkansas at Fayetteville · NIH-10829897 · Data updated 2026-11-12
This study is working on a new, gentle way to look at chronic wounds using advanced imaging and smart technology, so that doctors can better understand and treat these wounds without needing to take any tissue samples.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Arkansas at Fayetteville NIH-funded |
| Lab location | 1 site (Fayetteville, United States) |
| Project start | August 5, 2021 |
| Project end | April 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $379,688 |
| NIH project number | 5R01EB031032-04 |
| Project ID | NIH-10829897 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals suffering from chronic wounds that require ongoing medical attention.
✕Less likely to help
Patients with acute wounds or those who do not have chronic wound conditions may not benefit from this research.
What this research studies
This research aims to develop a non-invasive method for analyzing chronic wounds using advanced imaging techniques and artificial intelligence. By employing deep learning neural networks, the project seeks to create an automated system that can assess wound characteristics without the need for invasive tissue biopsies. This approach will allow for real-time monitoring and evaluation of wounds, potentially improving treatment outcomes for patients with chronic wounds. The research will involve training AI models to accurately analyze images obtained from multiphoton microscopy, providing insights similar to traditional histopathological methods.
Why it matters
Potential benefit: If successful, this research could lead to more effective and less invasive wound care treatments for patients with chronic wounds.
How similar studies have gone: Other research has shown promise in using AI for medical imaging, suggesting that this approach could be effective, though the specific application to wound analysis is relatively novel.
Where this research is happening
-
University of Arkansas at Fayetteville
Fayetteville, United States Active
Researchers
- Principal investigator: Quinn, Kyle Patrick — University of Arkansas at Fayetteville
- Study coordinator: Quinn, Kyle Patrick
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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.