Using machine learning to improve diabetic retinopathy screening for Veterans
Prediction Tools for Diabetic Retinopathy Among Veterans Using Machine Learning and Large-scale Data Analysis Techniques
This study is working to improve eye screenings for Veterans with diabetes by using smart technology to find those at the highest risk of vision loss, so they can get the right care when they need it most.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | VA Eastern Colorado Health Care System NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project ID | NIH-11052679 on NIH RePORTER |
What this research studies
This research aims to enhance diabetic retinopathy screening for Veterans by developing advanced machine learning tools that analyze large-scale data from the VA healthcare system. The project focuses on identifying Veterans at high risk for vision loss due to diabetic retinopathy, a condition that affects them more severely than the general population. By personalizing screening strategies based on individual risk factors, the research seeks to ensure that high-risk patients receive timely and appropriate care. The approach leverages the extensive electronic medical records available within the VA system to improve patient outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are Veterans diagnosed with diabetes who are at risk for developing diabetic retinopathy.
Not a fit: Patients who do not have diabetes or are not Veterans may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and timely screenings for diabetic retinopathy, potentially preventing vision loss in Veterans.
How similar studies have performed: Previous research has shown that machine learning approaches can effectively improve screening and management of diabetic conditions, indicating potential success for this novel application.
Where this research is happening
Aurora, UNITED STATES
- VA Eastern Colorado Health Care System — Aurora, United States (Active)
Researchers
- Principal investigator: Christopher, Karen — VA Eastern Colorado Health Care System
- Study coordinator: Christopher, Karen
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 below.