Novel glaucoma diagnostics using 3-D imaging and AI
Official title: Novel Glaucoma Diagnostics for Structure and Function.
Funded at Wills Eye Health System · NIH-11418896 · Data updated 2026-11-12
A research project aims to improve early detection and tracking of glaucoma by combining 3-D eye imaging with artificial intelligence.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Wills Eye Health System NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | August 1, 2000 |
| Project end | July 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $1,232,538 |
| NIH project number | 5R01EY013178-27 |
| Project ID | NIH-11418896 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include adults suspected of or diagnosed with glaucoma who undergo ocular imaging as part of their care.
✕Less likely to help
Patients not undergoing ocular imaging or with conditions outside glaucoma may not benefit directly.
What this research studies
If you have glaucoma or are at risk, this project uses advanced 3-D imaging and AI to detect the disease early and to better predict how it will progress. Researchers will analyze OCT images with new processing methods to reduce variability and make results more reliable across different devices. The goal is to give doctors clearer, personalized information to guide treatment. This work builds on existing eye-imaging expertise to harmonize data and improve clinical decision-making.
Why it matters
Potential benefit: If successful, patients could get earlier, more accurate diagnosis and more tailored treatment plans to preserve vision.
How similar studies have gone: Previous work shows that 3-D imaging and AI can improve detection and monitoring, but device differences and variability remain challenges.
Where this research is happening
-
Wills Eye Health System
Philadelphia, United States Active
Researchers
- Principal investigator: Schuman, Joel S — Wills Eye Health System
- Study coordinator: Schuman, Joel S
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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.