AI to predict glaucoma progression and need for surgery
Multimodal Artificial Intelligence to Predict Glaucomatous Progression and Surgical Intervention
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA, SAN DIEGO · NIH-11415376
Using AI that looks at eye scans and medical records to predict which people with glaucoma may lose vision faster or need glaucoma surgery.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA, SAN DIEGO (nih funded) |
| Locations | 1 site (LA JOLLA, UNITED STATES) |
| Trial ID | NIH-11415376 on ClinicalTrials.gov |
What this research studies
This project combines eye imaging (optic nerve OCT), visual field tests, eye pressure and corneal thickness with electronic health record information to train deep-learning models. The researchers will use long-running glaucoma cohorts (DIGS and ADAGES) and clinical data from UCSD to build and test the models. One aim is to predict who is likely to need glaucoma surgery; the other aim is to predict who will have fast visual field loss. The goal is to make predictions from a patient's baseline data to help guide follow-up and treatment decisions.
Who could benefit from this research
Good fit: People with a diagnosis of glaucoma who have standard eye tests such as OCT imaging, visual field measurements, intraocular pressure records, and basic clinical records would be the ideal candidates for this work.
Not a fit: Patients without recent or reliable eye imaging, visual field tests, or clinical records are unlikely to benefit from the model's predictions.
Why it matters
Potential benefit: If successful, the tool could help doctors spot high-risk patients earlier so treatment or closer follow-up can be tailored to reduce vision loss.
How similar studies have performed: Earlier AI research has shown promise for detecting glaucoma and estimating progression risk, but using multimodal AI to predict surgical need is a newer approach and less established.
Where this research is happening
LA JOLLA, UNITED STATES
- UNIVERSITY OF CALIFORNIA, SAN DIEGO — LA JOLLA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZANGWILL, LINDA M — UNIVERSITY OF CALIFORNIA, SAN DIEGO
- Study coordinator: ZANGWILL, LINDA M
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.