Using AI to Help Doctors Decide on Surgery for Children's Eye Abscesses
Automation of the radiographic surgical indicators for pediatric orbital abscess
This project is creating an AI tool to help doctors quickly and accurately decide if children with eye infections need surgery or can be treated with medicine.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11098714 on NIH RePORTER |
What this research studies
Children with severe eye infections, called orbital cellulitis, can develop abscesses that might lead to serious problems like blindness if not treated correctly. Currently, it can be difficult for doctors to know the exact right time to perform surgery versus continuing with antibiotics alone. This project is building an advanced AI tool that will analyze medical scans to accurately measure these abscesses. By providing consistent and precise measurements, the AI aims to give doctors a clearer picture, helping them decide more quickly and reliably if a child needs surgery. This improved decision-making could help prevent severe complications and improve outcomes for young patients.
Who could benefit from this research
Good fit: This research is focused on pediatric patients, specifically children who develop orbital abscesses as a complication of acute sinusitis.
Not a fit: Patients who are adults or do not have orbital abscesses would not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this AI tool could help doctors make faster and more accurate decisions for children with orbital abscesses, potentially preventing serious complications like blindness.
How similar studies have performed: While doctors currently use some radiographic signs, there isn't a reliable, automated tool like this one to consistently measure abscesses and guide surgical decisions, making this a novel approach.
Where this research is happening
New York, United States
- New York University School of Medicine — New York, United States (Active)
Researchers
- Principal investigator: Fu, Roxana — New York University School of Medicine
- Study coordinator: Fu, Roxana
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.