AI-guided tiny endoscope to find early esophageal cancer
AI-Assisted Microendoscopy for the Early Detection of Esophageal Cancer
A portable, high-resolution microendoscope paired with AI helps doctors spot early esophageal cell changes in people at higher risk, especially where standard screening is limited.
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 ID | NIH-11166524 on NIH RePORTER |
What this research studies
This project uses a handheld, high-resolution microendoscope (mHRME) combined with deep-learning software to flag abnormal esophageal images. The team completed a randomized clinical trial across the USA and China (918 participants) and a pilot trial in Brazil (41 participants) to compare expert and novice image reading and to test automated detection algorithms. Results so far showed experts reading images visually had high specificity while novices had many false positives, and the AI tools are being refined to reduce unnecessary biopsies. The aim is a low-cost, mobile screening tool that lowers risk and cost and expands access to early detection in underserved regions.
Who could benefit from this research
Good fit: Adults undergoing screening or surveillance for esophageal squamous cell neoplasia, particularly those in high-incidence or underserved regions, are the ideal candidates.
Not a fit: People without esophageal disease, those with other types of esophageal cancer such as Barrett's-related adenocarcinoma, or anyone unable to undergo endoscopy are unlikely to benefit from this specific approach.
Why it matters
Potential benefit: If successful, this approach could detect esophageal cancer earlier and reduce unnecessary biopsies, lowering risk and cost for patients.
How similar studies have performed: Prior trials showed the microendoscope with expert visual interpretation had high sensitivity and experts achieved higher specificity, and early AI-assisted pilots showed promise but need broader validation.
Where this research is happening
Houston, United States
- Baylor College of Medicine — Houston, United States (Active)
Researchers
- Principal investigator: Anandasabapathy, Sharmila — Baylor College of Medicine
- Study coordinator: Anandasabapathy, Sharmila
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.