Using AI to improve diagnosis of colorectal lesions during endoscopy
Official title: Clinical Study on the Diagnosis of Colorectal Lesions by Real-time Artificial Intelligence Assisted Endocytoscopy Combined With Narrow Band Imaging
Run by The First Hospital of Jilin University · NCT06982885 · Data updated 2026-11-12
This study is testing if using real-time artificial intelligence during colonoscopies can help doctors better identify colorectal lesions and reduce unnecessary surgeries.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 500 (estimated) |
| Sponsor | The First Hospital of Jilin University Academic / other |
| Locations | 1 site (Changchun, Jilin) |
| Status | Recruiting |
| Started | May 19, 2025 |
| Main results expected | December 31, 2025 |
| Study ends | December 31, 2025 |
| Registry record updated | August 7, 2025 |
| Trial ID | NCT06982885 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are individuals with colorectal lesions identified during routine colonoscopy.
✕Probably not a fit
Patients with inflammatory bowel disease, submucosal tumors, or specific pathological diagnoses such as Peutz-Jeghers polyps may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This clinical study aims to enhance the diagnostic accuracy of endoscopy for colorectal lesions by utilizing real-time artificial intelligence combined with narrow band imaging techniques. The focus is on differentiating between neoplastic and non-neoplastic lesions during colonoscopy, which can help reduce unnecessary resections and associated costs. By applying advanced imaging techniques, the study seeks to improve early detection of colorectal cancer, which is crucial for effective treatment and patient outcomes.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate diagnoses and potentially reduce the number of unnecessary surgical procedures for patients with non-neoplastic lesions.
How similar studies have gone: While the use of artificial intelligence in endoscopy is a growing field, this specific combination of AI and narrow band imaging for colorectal lesions is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * colorectal lesions Exclusion Criteria: * lesions lacking high-quality images; * Inflammatory bowel disease, familial adenomatous polyposis and other special diseases; * submucosal tumors; * Pathological diagnosis of Peutz-Jeghers polyps, juvenile polyps, lymphoma and other pathological types.
Where it's running
-
First Hospital of Jilin University
Changchun, Jilin, China Recruiting
Study contacts
- Study coordinator: Mingqing Liu
- Email: liumq23@mails.jlu.edu.cn
- Phone: 15043076005
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Comparing AI-assisted endocytoscopy for colorectal lesions
This study is testing if using artificial intelligence during colon exams can help doctors better identify different types of colorectal lesions to improve patient care.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.