Computer-aided detection (CADe) based on artificial intelligence (AI) may improve colonoscopy quality. An increasing number of young endoscopists are trained in an AI environment. However its impact on trainees' future outcomes remains unclear. The study aimed to evaluate the quality indicators of endoscopists trained in an AI environment compared to those trained conventionally.
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Serrated polyp detection rate (SDR)
Timeframe: During the colonoscopy examination
withdrawal time
Timeframe: During the colonoscopy examination
Cecal intubation rate (CIR)
Timeframe: During the colonoscopy examination
Adenoma Detection Rate (ADR)
Timeframe: During the colonoscopy examination
Advanced adenoma detection rate (AADR)
Timeframe: During the colonoscopy examination
Adenoma per colonoscopy score (APC)
Timeframe: During the colonoscopy examination