Tool to predict your 2-year risk of late age-related macular degeneration
A Model for Predicting 2-Year Risk of Incident Late Age-related Macular Degeneration
This AI tool predicts whether people with early or intermediate age-related macular degeneration are likely to develop late AMD within two years.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ihealthscreen, INC. NIH-funded |
| Lab location | 1 site (Richmond Hill, UNITED STATES) |
| Project ID | NIH-11146532 on NIH RePORTER |
What this research studies
You would have your eye images and clinical information analyzed by an AI program called iPredict-AMD, and researchers will follow you to see if the tool correctly predicts who develops late AMD over two years. The project includes prospective clinical trials plus human factors and precision studies to validate the software for FDA clearance and commercial use. Participation may involve retinal imaging, regular follow-up visits, and permission to use your data for analysis. The goal is to improve early detection so doctors can tailor monitoring and treatment.
Who could benefit from this research
Good fit: Ideal candidates are adults with early or intermediate age-related macular degeneration who can attend eye imaging and follow-up visits.
Not a fit: People who already have late (advanced) AMD or vision loss from other eye diseases are unlikely to benefit from this prediction tool.
Why it matters
Potential benefit: If successful, this could help people with early AMD learn their short-term risk and get closer monitoring or earlier treatment to help protect vision.
How similar studies have performed: Similar AI models and risk scores have shown promise in retrospective studies, but prospective clinical validation for two-year prediction of late AMD is still limited.
Where this research is happening
Richmond Hill, UNITED STATES
- Ihealthscreen, INC. — Richmond Hill, United States (Active)
Researchers
- Principal investigator: Bhuiyan, Alauddin — Ihealthscreen, INC.
- Study coordinator: Bhuiyan, Alauddin
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.