Using artificial intelligence to predict glaucoma progression and surgery needs

Multimodal Artificial Intelligence to Predict Glaucomatous Progression and Surgical Intervention

['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA, SAN DIEGO · NIH-11067213

This study is using smart technology to help doctors predict which glaucoma patients might need surgery and who may have worsening vision, so they can make better treatment decisions based on real patient information.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF CALIFORNIA, SAN DIEGO (nih funded)
Locations1 site (LA JOLLA, UNITED STATES)
Trial IDNIH-11067213 on ClinicalTrials.gov

What this research studies

This research aims to utilize advanced artificial intelligence and deep learning techniques to forecast which patients with glaucoma may require surgical intervention and who is likely to experience worsening vision over time. By analyzing a combination of electronic health records, imaging data, and other clinical information from established glaucoma patient cohorts, the study seeks to develop predictive models that can assist in clinical decision-making. The approach involves leveraging existing data from significant glaucoma studies to enhance the accuracy of predictions regarding disease progression and treatment needs.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals diagnosed with glaucoma, particularly those of African descent, who are being monitored for disease progression.

Not a fit: Patients who do not have glaucoma or those whose condition is already advanced and not amenable to surgical intervention may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more personalized treatment plans for glaucoma patients, potentially preserving vision and improving quality of life.

How similar studies have performed: Previous research has shown promise in using AI for predicting outcomes in glaucoma, indicating that this approach has the potential for success.

Where this research is happening

LA JOLLA, UNITED STATES

Researchers

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 below.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.