Low-cost AI imaging to detect oral cancer at the point of care
Point of Care Detection and Diagnosis of Oral Cancer using a Low Cost Imaging Module enabled by AI
An affordable AI-powered imaging and telecytology system aims to detect oral cancer from brush biopsy slides for people seen in community clinics, especially in rural areas.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ge Medical Systems Information Technologies, INC NIH-funded |
| Lab location | 1 site (Niskayuna, United States) |
| Project ID | NIH-11192775 on NIH RePORTER |
What this research studies
If I had a suspicious mouth lesion, a clinician could collect a simple brush biopsy and a portable scanner would capture images of my cells. Those images would be sent over the cloud to pathologists and an automated AI model to generate a rapid diagnostic read. The system is designed to work in community and rural clinics with limited pathology access and to trigger an immediate referral when cancer is suspected. The project focuses on making the device low-cost and reliable so more people can get quicker diagnoses.
Who could benefit from this research
Good fit: Ideal candidates would be people with suspicious oral lesions or those at high risk for oral cancer (for example, tobacco or betel nut users) presenting to participating community clinics.
Not a fit: People without suspicious lesions, those already diagnosed and under treatment for advanced disease, or those not near participating clinics may not directly benefit from this project.
Why it matters
Potential benefit: If successful, this could lead to much earlier detection of oral cancer and faster referral to treatment, improving survival and access to care in underserved areas.
How similar studies have performed: Related AI and telecytology approaches have shown promise in small studies, but large-scale, low-cost point-of-care deployments remain relatively new.
Where this research is happening
Niskayuna, United States
- Ge Medical Systems Information Technologies, INC — Niskayuna, United States (Active)
Researchers
- Principal investigator: Ginty, Fiona — Ge Medical Systems Information Technologies, INC
- Study coordinator: Ginty, Fiona
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.