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To verify the effect of artificial intelligence-assisted diagnosis combined with water exchange technology on the diagnostic efficiency of colonoscopy

To explore the effect of artificial intelligence combined with water exchange into colonoscopy on reducing the adenoma miss rates and improving the adenoma detection rates.

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400082293
Enrollment
Unknown
Registered
2024-03-26
Start date
2024-04-01
Completion date
Unknown
Last updated
2024-04-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

colorectal adenomas

Interventions

Water Exchange colonoscopy with Artificial Intelligence (AI) system :Water Exchange colonoscopy with Artificial Intelligence (AI) system
Air colonoscopy with Artificial Intelligence (AI) system:Air colonoscopy with Artificial Intelligence (AI) system

Sponsors

Beijing Chest Hospital Capital Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
45 Years to No maximum

Inclusion criteria

Inclusion criteria: ? Age > 45 years old; ? Patients underwent colonoscopy followed by endoscopic surgery or surgery with definite pathological results;

Exclusion criteria

Exclusion criteria: ? Pregnant women, lactating women, or women of childbearing age who are trying to become pregnant; ? History of inflammatory bowel disease, post-colectomy, familial adenomatous polyposis (FAP), serrated polyposis syndrome, lower gastrointestinal bleeding, colonic stenosis, abdominal radiotherapy;

Design outcomes

Primary

MeasureTime frame
adenoma miss rates;

Secondary

MeasureTime frame
Polyp detection rate;

Countries

China

Contacts

Public ContactLi chenguang

Beijing Chest Hospital Capital Medical University

15652788324@163.com+86 10 8950 9696

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026