Using AI and advanced imaging to improve colorectal cancer prevention.
Official title: BCCMA: VA Colorectal Cancer Clinical & Computational Collaborative (VA-5C): Project #2 - Artificial Intelligence and Multispectral Imaging of Colorectal Polyps.
Funded at VA Boston Health Care System · NIH-10918837 · Data updated 2026-11-12
This study is working on a smart tool that helps doctors spot and check for polyps during colonoscopies in veterans, making it easier to prevent colorectal cancer and reducing the need for extra tests.
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, 2024 |
| Project end | September 30, 2028 |
| Funding year | 2025 |
| NIH project number | 1I01CX002733-01A1 |
| Project ID | NIH-10918837 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are veterans undergoing colonoscopy who may have colorectal polyps.
✕Less likely to help
Patients who do not have colorectal polyps or are not veterans may not benefit from this research.
What this research studies
This research aims to enhance the prevention of colorectal cancer (CRC) in veterans by developing an artificial intelligence (AI)-based platform that provides real-time histology assessments during colonoscopy. By utilizing multispectral imaging, the project seeks to accurately identify and assess colorectal polyps, reducing unnecessary biopsies and associated costs. The goal is to create a widely adoptable tool that improves the efficiency and accuracy of polyp management, ultimately leading to better patient outcomes. This collaborative effort involves multiple VA centers and focuses on CRC precursors as key targets for intervention.
Why it matters
Potential benefit: If successful, this research could significantly improve the accuracy of polyp assessments during colonoscopy, leading to better prevention strategies for colorectal cancer.
How similar studies have gone: Other research has shown promise in using AI for medical imaging, indicating potential success for this novel approach in colorectal cancer prevention.
Where this research is happening
-
VA Boston Health Care System
Boston, United States Active
Researchers
- Principal investigator: Singh, Satish K — VA Boston Health Care System
- Study coordinator: Singh, Satish K
Related research
Other NIH-funded projects on the same topics.
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Rewiring Colorectal Cancer to Harness Therapeutic Hyperactivation
A Yale team is exploring brain-storming new ways to treat colorectal cancer by safely boosting certain cancer signaling pathways to kill cancer cells and by reshaping cancer cell states to improve responses to existing therapies.
-
Comparative modeling to guide colorectal cancer screening and care
A researcher team will use computer models to study how access to care, risk, and new screening options affect colorectal cancer outcomes and costs for adults in the US.
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.