AI-powered high-resolution eye scans to measure and classify inflammation in uveitis

Quantification and Classification of Aqueous and Vitreous Inflammation in Uveitis Using Deep Learning Analysis of Ultrahigh-Resolution OCT

['FUNDING_R21'] · OREGON HEALTH & SCIENCE UNIVERSITY · NIH-11163446

This project will use ultrahigh-resolution OCT scans plus deep learning to count and identify inflammatory cells in the eyes of people with uveitis.

Quick facts

Phase['FUNDING_R21']
Study typeNih_funding
SexAll
SponsorOREGON HEALTH & SCIENCE UNIVERSITY (nih funded)
Locations1 site (PORTLAND, UNITED STATES)
Trial IDNIH-11163446 on ClinicalTrials.gov

What this research studies

If you have uveitis, researchers will take very detailed, noninvasive OCT images of the fluid in the front (aqueous) and back (vitreous) of your eye. They will use artificial intelligence to count inflammatory cells seen in those images and try to classify different cell types. The team will also estimate protein levels by measuring how light scatters in the images. Together these image-based measurements aim to help doctors distinguish types of uveitis and follow disease severity and treatment response over time.

Who could benefit from this research

Good fit: People diagnosed with uveitis who can undergo OCT imaging and have active or suspected intraocular inflammation would be the ideal candidates.

Not a fit: People without uveitis or those who cannot receive clear OCT images (for example due to dense corneal or lens opacities) are unlikely to benefit from this project.

Why it matters

Potential benefit: Could provide a faster, noninvasive way to help diagnose types of uveitis and track how well treatments are working.

How similar studies have performed: OCT and AI have been used separately in eye disease, but combining ultrahigh-resolution OCT with deep learning to count and classify inflammatory cells in the aqueous and vitreous is a relatively new approach with limited prior clinical validation.

Where this research is happening

PORTLAND, 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.