AI-guided microendoscopy to detect esophageal cancer早期
Official title: AI-Assisted Microendoscopy for the Early Detection of Esophageal Cancer
Funded at Baylor College of Medicine · NIH-11535395 · Data updated 2026-11-12
A doctor-research team is testing an AI-assisted microendoscopy tool to screen people at risk for esophageal cancer, aiming to find cancer early with higher accuracy and fewer unnecessary biopsies.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | September 17, 2014 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $21,000 |
| NIH project number | 3R01CA181275-10S2 |
| Project ID | NIH-11535395 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults at risk for esophageal cancer in regions with limited endoscopic screening capacity; participants in prior or ongoing esophageal screening programs.
✕Less likely to help
Individuals without risk factors or those not undergoing screening may not benefit from this technology.
What this research studies
This project uses a mobile high-resolution microendoscope combined with AI software to detect esophageal squamous cell neoplasia in people who may not have easy access to screening. It builds on prior work with randomized trials in the US, China, and Brazil to show how automated image analysis can improve detection while reducing false positives. The goal is to provide a practical, scalable screening option in underserved regions where endoscopy resources are limited. Participants may undergo screening procedures and image interpretation that could inform future care decisions.
Why it matters
Potential benefit: If successful, patients could receive earlier, more accurate screening for esophageal cancer with fewer unnecessary biopsies.
How similar studies have gone: Previous trials showed higher specificity with expert interpretation and promising AI-assisted detection, though performance varied by user experience.
Where this research is happening
-
Baylor College of Medicine
Houston, United States Active
Researchers
- Principal investigator: Mcguire, Amy L — Baylor College of Medicine
- Study coordinator: Mcguire, Amy L
Related research
Other NIH-funded projects on the same topics.
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AI-assisted Microendoscopy to Detect Esophageal Cancer Earlier
A technology-based approach uses AI and a tiny endoscopy device to screen for early esophageal cancer, focusing on high-risk regions around the world.</n>
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Point-of-care esophageal cancer detection in low- and middle-income countries
A researcher-led effort to use a swallowable sponge and a portable chip to detect DNA methylation markers of esophageal cancer right where patients live, helping people in LMICs get quick results.
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AI-assisted Microendoscopy for early esophageal cancer detection
A Baylor College of Medicine team is testing a mobile, AI-driven microscopic imaging tool to help screen for early esophageal cancer in regions with limited screening capacity.
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OmicXScreen: AI-powered blood test to detect liver and esophageal cancers early
A new blood test using AI and DNA methylation patterns aims to detect hepatocellular carcinoma and esophageal cancer early, helping people who are at high risk.
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AI-assisted microendoscopy to find esophageal cancer early
This project uses a small, high-resolution endoscope plus AI to help doctors spot early esophageal cancer in people at risk, especially where screening is limited.
-
AI-assisted microendoscope to find esophageal cancer early
This project uses a small, high-resolution endoscope plus artificial intelligence to help doctors spot early esophageal squamous cell cancer in people at risk, especially where screening is scarce.
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.