About this trial
Accurate polyp size measurements are essential for risk stratification, selection of polypectomy techniques, and surveillance interval assignments. Evidence indicated that the clinical implementation of artificial intelligence is an optimal tool to improve the measurement of polyps during colonoscopy. This study aimed to evaluate the performance of a computer-aided measuring (CAM) system (EndoDASS) and compare its accuracy with routine sizing methods during real-time colonoscopy.
Eligibility criteria
Qualifiers
Adults aged 18-75, any gender; 76-85 years eligible case-by-case based on health status.
Colonoscopy screening, surveillance, or diagnostic participants.
Informed consent obtained.
Disqualifiers
Anticoagulant use (e.g., aspirin, warfarin) within 7 days prior to colonoscopy or coagulopathy.
Inflammatory bowel disease.
Aronchick score >3 at entry.
Incomplete Case Report Form (CRF) data.
Trial design
Treatments tested in this trial
- Polyp size measurement using autonomous AI measurement or AI-assisted human measurement with the CAM system