Using AI to improve the detection of trachoma in children
Official title: The Development of Clinically-Motivated and Explainable Machine-Learning-Based Image Classifiers to Detect Trachoma
Funded at University of Vermont & St Agric College · NIH-11050191 · Data updated 2026-11-12
This study is working on using smart computer technology to help find trachoma, a disease that can cause vision loss in kids under 12, so that even in places with fewer doctors, we can still make sure children get the right diagnosis and care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Vermont & St Agric College NIH-funded |
| Lab location | 1 site (Burlington, United States) |
| Project start | February 1, 2025 |
| Project end | January 31, 2030 |
| Funding year | 2025 |
| Award (this year) | $459,286 |
| NIH project number | 1R01EY036092-01A1 |
| Project ID | NIH-11050191 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children under the age of 12 living in regions where trachoma is prevalent.
✕Less likely to help
Patients who do not live in areas affected by trachoma or who are over the age of 11 may not benefit from this research.
What this research studies
This research focuses on developing advanced machine learning algorithms to analyze images for detecting trachoma, a leading cause of vision loss in children under 12. By utilizing AI technology, the project aims to create a reliable and standardized method for diagnosing active trachoma, which is crucial for monitoring and eliminating the disease. The approach involves training AI models on previously collected photographs to enhance diagnostic accuracy and reduce reliance on human graders. This innovative method seeks to ensure that even in areas with fewer trained professionals, accurate assessments can still be made.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and accessible diagnosis of trachoma, ultimately reducing the risk of vision loss in affected children.
How similar studies have gone: Previous research has shown promise in using AI for medical image analysis, indicating that this approach could be effective for trachoma detection as well.
Where this research is happening
-
University of Vermont & St Agric College
Burlington, United States Active
Researchers
- Principal investigator: Brady, Christopher John — University of Vermont & St Agric College
- Study coordinator: Brady, Christopher John
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.