Using artificial intelligence to improve the management of colorectal polyps
Official title: Development of Artificial Intelligence-Based Approaches for Computer-Aided Management of Colorectal Polyps
Funded at VA Boston Health Care System · NIH-10950310 · Data updated 2026-11-12
This study is testing a new AI technology that helps doctors find and understand colorectal polyps during colonoscopy, making the process easier and more effective for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | VA Boston Health Care System NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | October 1, 2022 |
| Project end | September 30, 2026 |
| Funding year | 2025 |
| NIH project number | 5I01BX005752-03 |
| Project ID | NIH-10950310 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals scheduled for colonoscopy who may have colorectal polyps.
✕Less likely to help
Patients who have already undergone colonoscopy without polyps or those not requiring a colonoscopy will likely not benefit from this research.
What this research studies
This research focuses on developing artificial intelligence (AI) technologies to enhance the detection and management of colorectal polyps during colonoscopy. By utilizing advanced AI algorithms, the project aims to predict the pathology of polyps in real-time, potentially reducing unnecessary procedures and improving the efficiency of colonoscopy. The approach involves training AI models on endoscopic images to distinguish between neoplastic and non-neoplastic polyps, which could lead to better patient outcomes and resource utilization. Patients undergoing colonoscopy may benefit from this innovative technology that aims to streamline their care.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and efficient colonoscopy procedures, reducing the need for unnecessary polyp removals and improving overall patient care.
How similar studies have gone: Other research has shown promising results in applying AI to endoscopic imaging, indicating that this approach could be a significant advancement in colorectal cancer management.
Where this research is happening
-
VA Boston Health Care System
Boston, United States Active
Researchers
- Principal investigator: Rodriguez-Diaz, Eladio — VA Boston Health Care System
- Study coordinator: Rodriguez-Diaz, Eladio
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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.