Using advanced imaging and AI to diagnose and classify eye inflammation in uveitis
Official title: Quantification and Classification of Aqueous and Vitreous Inflammation in Uveitis Using Deep Learning Analysis of Ultrahigh-Resolution OCT
Funded at Oregon Health & Science University · NIH-10952558 · Data updated 2026-11-12
This study is looking at how to better diagnose and treat uveitis, a condition that can cause vision loss, by using advanced imaging technology and artificial intelligence to get a clearer picture of inflammation in the eye.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oregon Health & Science University NIH-funded |
| Lab location | 1 site (Portland, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $247,800 |
| NIH project number | 1R21EY036563-01 |
| Project ID | NIH-10952558 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with uveitis or those experiencing unexplained eye inflammation.
✕Less likely to help
Patients with uveitis caused by known factors or those who do not have inflammatory conditions affecting the eye may not benefit from this research.
What this research studies
This research focuses on improving the diagnosis and treatment of uveitis, a condition that can lead to blindness. By utilizing ultrahigh-resolution optical coherence tomography (OCT) and artificial intelligence (AI), the study aims to analyze the inflammatory response in the eye's aqueous and vitreous humor. The OCT technology will capture detailed images to quantify inflammatory cells, while AI will help classify these cells for better diagnosis. This approach could enhance the monitoring of disease severity and treatment response.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment plans for patients with uveitis, potentially reducing the risk of blindness.
How similar studies have gone: Previous research has shown promise in using AI and imaging technologies for diagnosing various medical conditions, suggesting potential success for this novel approach in uveitis.
Where this research is happening
-
Oregon Health & Science University
Portland, United States Active
Researchers
- Principal investigator: Li, Yan — Oregon Health & Science University
- Study coordinator: Li, Yan
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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.