Using deep learning to improve detection and tracking of glaucoma
Deep Learning Approaches for Personalized Modeling and Forecasting of Glaucomatous Changes
This study is looking at how to better spot and track glaucoma using smart computer technology, so that doctors can understand how the disease is changing for each person and create more personalized treatment plans.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oregon Health & Science University NIH-funded |
| Lab location | 1 site (Portland, United States) |
| Project ID | NIH-10798289 on NIH RePORTER |
What this research studies
This research focuses on enhancing the detection and monitoring of glaucoma, a leading cause of blindness. By utilizing advanced deep learning techniques, the project aims to analyze ocular imaging data to identify structural changes associated with glaucoma and predict its progression for individual patients. The approach is designed to overcome current challenges in accurately assessing disease progression, which can vary significantly among patients. This personalized modeling could lead to more effective treatment strategies tailored to each patient's unique condition.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with glaucoma or those at high risk for developing the condition.
Not a fit: Patients with other unrelated eye conditions or those without glaucoma may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and better management of glaucoma, ultimately preserving vision for many patients.
How similar studies have performed: Other research has shown promising results using deep learning techniques for medical imaging, indicating potential success for this novel approach.
Where this research is happening
Portland, United States
- Oregon Health & Science University — Portland, United States (Active)
Researchers
- Principal investigator: Ishikawa, Hiroshi — Oregon Health & Science University
- Study coordinator: Ishikawa, Hiroshi
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.