Improving retinal disease diagnosis using advanced imaging techniques
SCH: Multimodal Retina Image Alignment and Applications
This study is working on new ways to use computer technology to look at eye images, helping eye doctors spot and track retinal diseases more easily and quickly, so they can provide better care for patients like you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project ID | NIH-10916222 on NIH RePORTER |
What this research studies
This research focuses on developing advanced deep-learning methods to analyze and interpret retinal images from various sources. By integrating data from different imaging technologies, the project aims to enhance the ability of ophthalmologists to quickly and accurately detect retinal diseases. The approach involves evaluating retinal structure and function over time, especially in response to treatments, which can help in tailoring patient care. The research will utilize a multimodal image processing technique to streamline the diagnostic process.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals experiencing symptoms of retinal diseases or those at risk due to genetic or environmental factors.
Not a fit: Patients with no retinal disease or those who do not undergo retinal imaging may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate diagnoses of retinal diseases, improving patient outcomes.
How similar studies have performed: Previous research has shown promise in using deep learning for medical imaging, indicating potential success for this multimodal approach.
Where this research is happening
La Jolla, United States
- University of California, San Diego — La Jolla, United States (Active)
Researchers
- Principal investigator: Freeman, William R. — University of California, San Diego
- Study coordinator: Freeman, William R.
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.