A new tool for diagnosing diabetic retinopathy using advanced imaging and artificial intelligence.
Official title: A diagnostic platform for diabetic retinopathy based on OCT angiography and artificial intelligence
Funded at Ifocus Imaging LLC · NIH-11011245 · Data updated 2026-11-12
This study is working on a new tool that uses advanced imaging and smart technology to help doctors better and more easily diagnose and understand diabetic retinopathy, a common eye condition that affects many people with diabetes.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ifocus Imaging LLC NIH-funded |
| Lab location | 1 site (Portland, United States) |
| Project start | September 30, 2024 |
| Project end | September 29, 2025 |
| Funding year | 2024 |
| Award (this year) | $306,462 |
| NIH project number | 1R43EY036781-01 |
| Project ID | NIH-11011245 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults diagnosed with diabetic retinopathy or those at risk of developing the condition.
✕Less likely to help
Patients without diabetes or those who do not have diabetic retinopathy may not benefit from this research.
What this research studies
This research focuses on developing a diagnostic platform that utilizes optical coherence tomography angiography (OCTA) combined with artificial intelligence to improve the diagnosis and staging of diabetic retinopathy (DR). The approach aims to automate the grading of OCTA images, making it easier and more reliable for healthcare providers to assess the severity of DR. By enhancing the segmentation of key features in OCTA images, this project seeks to provide a non-invasive and efficient method for diagnosing a condition that affects millions worldwide.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and timely diagnoses of diabetic retinopathy, potentially reducing the risk of blindness for patients.
How similar studies have gone: Previous research has shown promise in using AI for medical imaging, indicating that this approach could lead to significant advancements in the diagnosis of diabetic retinopathy.
Where this research is happening
-
Ifocus Imaging LLC
Portland, United States Active
Researchers
- Principal investigator: Hormel, Tristan — Ifocus Imaging LLC
- Study coordinator: Hormel, Tristan
Related research
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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.