Using artificial intelligence to improve glaucoma screening
Validation and Implementation of an Artificial Intelligence Machine-to-Machine (M2M) Model for Glaucoma Screening
This study is working on a new AI tool that helps doctors check for glaucoma using regular eye photos, making it easier and cheaper for people to get tested, especially those who might have trouble accessing traditional eye exams.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Miami School of Medicine NIH-funded |
| Lab location | 1 site (Coral Gables, United States) |
| Project ID | NIH-10973054 on NIH RePORTER |
What this research studies
This research focuses on developing an innovative artificial intelligence model to enhance the screening process for glaucoma, a leading cause of blindness. By utilizing deep learning algorithms, the study aims to analyze fundus photographs to provide accurate and objective assessments of glaucomatous damage, which are typically measured using more complex and expensive imaging technologies. The goal is to create a cost-effective and accessible screening method that can be implemented in various healthcare settings, particularly benefiting those who face barriers to traditional diagnostic services.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals at risk for glaucoma, particularly those who may have limited access to traditional diagnostic methods.
Not a fit: Patients who have already been diagnosed with advanced glaucoma or those who do not have access to fundus photography may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of glaucoma, potentially preventing blindness in at-risk populations.
How similar studies have performed: Other research has shown promise in using artificial intelligence for medical imaging, indicating that this approach could be effective in improving glaucoma screening.
Where this research is happening
Coral Gables, United States
- University of Miami School of Medicine — Coral Gables, United States (Active)
Researchers
- Principal investigator: Medeiros, Felipe — University of Miami School of Medicine
- Study coordinator: Medeiros, Felipe
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.