Using AI to predict how glaucoma will progress in patients
Personalized Predictions for Glaucoma Progression Using Artificial Intelligence for Electronic Health Records
['FUNDING_OTHER'] · STANFORD UNIVERSITY · NIH-11043409
This study is looking at how artificial intelligence can help doctors predict how glaucoma might progress in patients by analyzing their health records, so they can provide better, personalized treatment to prevent vision loss.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | STANFORD UNIVERSITY (nih funded) |
| Locations | 1 site (STANFORD, UNITED STATES) |
| Trial ID | NIH-11043409 on ClinicalTrials.gov |
What this research studies
This research investigates how artificial intelligence can analyze electronic health records to predict the progression of glaucoma, a leading cause of irreversible blindness. By examining various clinical factors documented in patient records, such as intraocular pressure and treatment history, the study aims to develop predictive algorithms that can identify patients at high risk of vision loss. This personalized approach could help clinicians tailor treatments more effectively to individual patient needs. The research also focuses on enhancing the principal investigator's expertise in AI and natural language processing.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with glaucoma who are at varying stages of the disease.
Not a fit: Patients with other forms of vision impairment unrelated to glaucoma may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier identification of glaucoma patients at risk of progression, allowing for more personalized and effective treatment strategies.
How similar studies have performed: Other research has shown promise in using AI and NLP for predicting health outcomes, suggesting that this approach could be effective for glaucoma as well.
Where this research is happening
STANFORD, UNITED STATES
- STANFORD UNIVERSITY — STANFORD, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: WANG, SOPHIA YING — STANFORD UNIVERSITY
- Study coordinator: WANG, SOPHIA YING
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.