Using AI to improve diagnosis of diabetic eye disease in underserved communities

Addressing Health Disparities through AI-Enhanced Prediction of Diabetic Retinopathy

NIH-funded research Bioxytech Retina, INC. · NIH-10923617

This study is working on a new, smart imaging tool to help doctors better spot and track diabetic retinopathy, an eye problem that can cause vision loss, especially for African American and underserved communities who face higher risks, so that everyone can get better and more affordable eye care.

Quick facts

Grant typeSbir 1 grant
Study typeNIH-funded research
Funding institutionBioxytech Retina, INC. NIH-funded
Lab location1 site (Richmond, UNITED STATES)
Project IDNIH-10923617 on NIH RePORTER

What this research studies

This research aims to develop a new diagnostic imaging technology enhanced by artificial intelligence to better predict and monitor diabetic retinopathy (DR), a serious eye condition that can lead to vision loss. The approach focuses on addressing health disparities, particularly among African American and other underserved populations who are disproportionately affected by diabetes and its complications. By improving the accuracy and accessibility of DR diagnosis, the project seeks to reduce treatment costs and enhance overall eye care for those at risk. The technology will be clinically tested to ensure its reliability and effectiveness in real-world settings.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals from African American, Latino, and Native American communities who are at risk for diabetic retinopathy due to diabetes.

Not a fit: Patients who do not have diabetes or are not at risk for diabetic retinopathy may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly improve early detection and treatment of diabetic retinopathy, preserving vision for millions of patients.

How similar studies have performed: Previous research has shown promising results in using AI for medical diagnostics, particularly in improving outcomes for underserved populations, indicating a strong potential for success in this approach.

Where this research is happening

Richmond, 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.
Last reviewed 2026-06-13 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.