Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.
participants age 40-80 years
History of colonic surgery (except appendectomy)
Lower gastrointestinal bleeding
unstable vital sign during endoscopy of pregnancy
history of inflammatory bowel disease, polyposis syndrome, colon cancer, colonic stricture, abnormal coaglulation, organ failure
Parallel
Artificial intellegence. CADe syste,
DeviceThe patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal.
control
DeviceThe patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal.
polyp detection rate
the number of polyp detected during endoscopy
type of polyp
the type of polyp detected during endoscopy
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