Affordable AI-based detection of oral cancer at the point of care
Official title: Point of Care Detection and Diagnosis of Oral Cancer using a Low Cost Imaging Module enabled by AI
Funded at Ge Medical Systems Information Technologies, INC · NIH-10937614 · Data updated 2026-11-12
This study is working on a smart, affordable tool that can quickly check for oral cancer, especially in rural areas where getting to a doctor can be tough, so that people can get diagnosed faster and have a better chance of successful treatment.
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 start | September 13, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $478,576 |
| NIH project number | 1U01CA291666-01 |
| Project ID | NIH-10937614 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals living in rural areas of India who are at risk for oral cancer or showing early symptoms.
✕Less likely to help
Patients who have already been diagnosed with advanced oral cancer may not benefit from this research.
What this research studies
This research aims to create a low-cost, automated system for detecting oral cancer using artificial intelligence. The system will allow for quick and reliable diagnosis in community settings, particularly in rural areas where access to medical facilities is limited. By utilizing a portable imaging module, the project seeks to streamline the process from initial screening to referral for treatment, significantly reducing the time it takes for patients to receive a diagnosis. The goal is to improve early detection rates, which could lead to better treatment outcomes and survival rates for patients.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis and treatment of oral cancer, significantly improving survival rates for patients.
How similar studies have gone: Other research has shown promise in using AI for cancer detection, indicating that this approach could be effective.
Where this research is happening
-
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
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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.