Using artificial intelligence to predict glaucoma risk from various factors
Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence
This study is looking at how smart computer technology can help figure out who might be at risk for glaucoma, an eye condition that can cause blindness, by examining eye images and genetic information, so that those who need care the most can get it sooner.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Tennessee Health Sci Ctr NIH-funded |
| Lab location | 1 site (Memphis, United States) |
| Project ID | NIH-11075237 on NIH RePORTER |
What this research studies
This research investigates how artificial intelligence can analyze structural, functional, and genetic factors to predict the risk of developing glaucoma, a serious eye condition that can lead to blindness. By utilizing advanced AI models, the study aims to identify individuals who are at higher risk of glaucoma and its progression, addressing the limitations of current diagnostic methods. The approach includes analyzing high-resolution images of the optic nerve and genetic data to create a more reliable risk assessment tool. This could help prioritize care for those most in need, especially as the prevalence of glaucoma increases with an aging population.
Who could benefit from this research
Good fit: Ideal candidates for this research include older adults and individuals with a family history of glaucoma or other risk factors.
Not a fit: Patients who are not at risk for glaucoma or those who have already been diagnosed and are receiving treatment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate identification of individuals at risk for glaucoma, potentially preventing vision loss.
How similar studies have performed: Other research has shown promise in using AI for predicting various health conditions, suggesting that this approach could be effective for glaucoma as well.
Where this research is happening
Memphis, United States
- University of Tennessee Health Sci Ctr — Memphis, United States (Active)
Researchers
- Principal investigator: Yousefi, Siamak — University of Tennessee Health Sci Ctr
- Study coordinator: Yousefi, Siamak
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.