Using artificial intelligence to analyze eye conditions related to high myopia.
Official title: Artificial Intelligence Analysis of Myopic Vitreoretinal Pathology
Funded at Stanford University · NIH-11031290 · Data updated 2026-11-12
This study is looking at how to use artificial intelligence to better understand and predict serious eye problems that can happen with high myopia, so we can help people with this condition have better outcomes.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | March 1, 2024 |
| Project end | February 28, 2029 |
| Funding year | 2025 |
| Award (this year) | $274,148 |
| NIH project number | 5K23EY035741-02 |
| Project ID | NIH-11031290 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with high myopia who are at risk for retinal complications.
✕Less likely to help
Patients with low myopia or those without any retinal complications may not benefit from this research.
What this research studies
This research focuses on high myopia, a condition that can lead to serious eye complications such as retinal tears and detachments. The project aims to develop an artificial intelligence model that analyzes large datasets from electronic health records and ophthalmic imaging to better understand and predict these complications. By leveraging advanced AI techniques, the research seeks to identify patterns and risk factors associated with myopia progression, ultimately aiming to improve patient outcomes. The principal investigator, Dr. Chase Ludwig, will undergo training to enhance their skills in this area over a five-year period.
Why it matters
Potential benefit: If successful, this research could significantly reduce the risk of blindness associated with high myopia by improving early detection and intervention strategies.
How similar studies have gone: Previous research has shown promise in using AI for analyzing ocular conditions, indicating that this approach could lead to meaningful advancements in the field.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Ludwig, Chase — Stanford University
- Study coordinator: Ludwig, Chase
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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.