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Effect of an Artificial Intelligence Computer-Aided Detection System on Adenoma Detection: A Multicenter Randomized Controlled Trial

Effect of an Artificial Intelligence Computer-Aided Detection System on Adenoma Detection: A Multicenter Randomized Controlled Trial

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2200064399
Enrollment
Unknown
Registered
2022-10-06
Start date
2022-10-01
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Colorectal adenoma

Interventions

SC-AI group:standard colonoscopy is performed first, followed by AI-assisted colonoscopy
AI-SC group:AI-assisted colonoscopy is performed first, followed by standard colonoscopy

Sponsors

Zhongshan Hospital, Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Between 18 and 75 years old, male or female; 2. Has the indication of or is willing to undergo outpatient colonoscopic examination; 3. Willing to and has the ability to sign or provide an informed consent

Exclusion criteria

Exclusion criteria: 1. History of colorectal surgery; 2. Known colorectal cancer, familial polyposis, or inflammatory bowel disease; 3. Known or suspected intestinal obstruction or perforation; 4. Current anticoagulation therapy with a high risk of suspension, with high hemorrhagic risk to perform a polyp biopsy or resection; 5. Severe chronic renal failure (creatinine clearance180 mm Hg and/or arterial diastolic blood pressure >100 mm Hg); 10. Moderate or massive active GI bleeding (>100 mL/day); 11. Major psychiatric illness;

Design outcomes

Primary

MeasureTime frame
adenoma miss rate;

Secondary

MeasureTime frame
polyp miss rate;adenoma detection rate;polyp detection rate;adenoma per colonoscopy;polyp per colonoscopy;true positive;false positive;false negative;false positive per colonoscopy;

Countries

China

Contacts

Public ContactQuan-lin Li

Zhongshan Hospital, Fudan University

li.quanlin@zs-hospital.sh.cn+86 13564671882

Outcome results

None listed

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