CompletedNot Applicable

The Implementation of Computer-aided Detection in Training Improves the Quality of Future Colonoscopies

Poland6,000 participantsStarted 2022-01-01

Plain-language summary

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.

Who can participate

Age range18 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * adult participants who underwent a colonoscopy for various reasons performed by specific endoscopists that were assessed in terms of quality indicators Exclusion Criteria: * a history of bowel resection * confirmed inflammatory bowel disease * suspicion of polyps or cancer in other imaging tests * suspicion of familial adenomatous polyposis