NIH-funded research NIH-funded research

Finding Glaucoma Vision Loss Early with Computer Learning

Official title: Early Detection of Progressive Visual Loss in Glaucoma Using Deep Learning

Funded at Iowa City VA Medical Center · NIH-11092687 · Data updated 2026-11-12

This project uses advanced computer learning to help doctors find vision changes in glaucoma patients sooner, especially for veterans.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionIowa City VA Medical Center
NIH-funded
Lab location1 site (Iowa City, United States)
Project startJune 1, 2022
Project endMay 31, 2026
Funding year2025
NIH project number5I01RX003797-04
Project IDNIH-11092687 on NIH RePORTER

Who could benefit from this research

Could help

This research is relevant for patients diagnosed with glaucoma, particularly veterans, who are at risk of progressive vision loss.

Less likely to help

Patients without glaucoma or those whose vision loss is due to other conditions would not directly benefit from this specific research.

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.

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 gone: 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 VA Medical Center
    Iowa City, United States
    Active

Researchers

  • Principal investigator: Garvin, Mona K. — Iowa City VA Medical Center
  • Study coordinator: Garvin, Mona K.

Related research

Other NIH-funded projects on the same topics.

  • Population-wide deep learning glaucoma screening Models

    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.

    NIH research Schepens Eye Research Institute · Boston, United States · NIH-11419231

  • AI screening that detects glaucoma across diverse populations

    This project builds AI that reads retinal photos and OCT scans to find glaucoma early for people from different racial and ethnic backgrounds.

    NIH research Schepens Eye Research Institute · Boston, United States · NIH-11184318

  • Using deep learning to detect and predict glaucoma progression from eye scans

    This study is looking at how we can better spot and track primary open angle glaucoma using advanced computer technology, so that patients can get the help they need sooner and manage their condition more effectively.

    NIH research University of California, San Diego · La Jolla, United States · NIH-11081725

  • Creating fair AI models for glaucoma screening

    This study is working on using smart computer technology to help find glaucoma early, especially for people from different backgrounds who might not have easy access to eye care, so that everyone can get the right diagnosis without needing expensive specialist visits.

    NIH research Schepens Eye Research Institute · Boston, United States · NIH-10872671

  • IOP and CSF Pressure in Glaucoma Risk

    This grant studies how eye pressure and cerebrospinal fluid pressure together influence glaucoma risk and vision loss.

    NIH research University of Alabama at Birmingham · Birmingham, United States · NIH-11644421

  • Integrative histo-genomic analysis to guide cancer risk and targeted therapies with interpretable AI

    Researchers are developing an advanced AI-powered approach to map genetic and cellular patterns across breast and cervical cancers to help tailor treatments.

    NIH research Tuskegee University · Tuskegee Institute, United States · NIH-11621787

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.