Finding Glaucoma Vision Loss Early with Computer Learning
Early Detection of Progressive Visual Loss in Glaucoma Using Deep Learning
['FUNDING_OTHER'] · IOWA CITY VA MEDICAL CENTER · NIH-11092687
This project uses advanced computer learning to help doctors find vision changes in glaucoma patients sooner, especially for veterans.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | IOWA CITY VA MEDICAL CENTER (nih funded) |
| Locations | 1 site (IOWA CITY, UNITED STATES) |
| Trial ID | NIH-11092687 on ClinicalTrials.gov |
What this research studies
Glaucoma can cause irreversible blindness, and it's often hard to tell when vision is getting worse quickly. We are developing a new computer-based tool that uses deep learning, a type of artificial intelligence, to analyze eye scans and visual field tests. This tool aims to identify progressive vision loss more accurately and earlier than current methods. By doing so, doctors can make quicker decisions about treatment, potentially preventing further vision loss and improving quality of life for patients.
Who could benefit from this research
Good fit: This research is relevant for patients diagnosed with glaucoma, particularly veterans, who are at risk of progressive vision loss.
Not a fit: Patients without glaucoma or those whose vision loss is due to other conditions would not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this approach could lead to earlier and more precise treatment adjustments for glaucoma, helping to preserve vision and improve quality of life for patients.
How similar studies have performed: While deep learning is a rapidly advancing field, this specific application to standardize and sensitively monitor glaucoma progression is a novel approach.
Where this research is happening
IOWA CITY, UNITED STATES
- IOWA CITY VA MEDICAL CENTER — IOWA CITY, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: GARVIN, MONA K. — IOWA CITY VA MEDICAL CENTER
- Study coordinator: GARVIN, MONA K.
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.