Population-wide deep learning glaucoma screening Models
Official title: Developing Population-Generalizable Deep Learning Models for Automated Glaucoma Screening
Funded at Schepens Eye Research Institute · NIH-11419231 · Data updated 2026-11-12
Aims to create AI eye-screening tools that work well for diverse populations so people can get easy glaucoma checks from primary care or pharmacies.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Schepens Eye Research Institute NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 30, 2024 |
| Project end | July 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $680,583 |
| NIH project number | 5R01EY036222-03 |
| Project ID | NIH-11419231 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals at risk for glaucoma or those with limited access to eye care who could benefit from screening in non-specialist settings.
✕Less likely to help
Patients who already receive regular comprehensive eye exams may not directly benefit from a screening tool.
What this research studies
This project develops deep learning models that use retinal images to detect glaucoma and tests how well they generalize across different populations. It uses optical coherence tomography and fundus photos, with new metrics that measure consistency of performance across groups. The goal is a reliable screening tool that can be deployed in primary care and accessible settings, reducing undiagnosed glaucoma.
Why it matters
Potential benefit: If successful, the tool could enable widespread, accessible glaucoma screening and earlier detection, potentially preventing vision loss.
How similar studies have gone: Past studies show promise for deep learning in glaucoma detection, but generalizability across diverse populations remains a challenge.
Where this research is happening
-
Schepens Eye Research Institute
Boston, United States Active
Researchers
- Principal investigator: Wang, Mengyu — Schepens Eye Research Institute
- Study coordinator: Wang, Mengyu
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.