Considering its contribution to reducing colorectal cancer morbidity and mortality, the most
important task of colonoscopy is to find all existing polyps. Moreover, the accurate detection …

Research in artificial intelligence (AI) in gastroenterology has increased over the last
decade. Colonoscopy represents the most widely published field with regards to its use in …

Colorectal cancer (CRC) is the third most common cancer in the world. Colonoscopy has
contributed significantly to reduction of incidence and mortality of CRC. Integration of …

Abstract Background and Aim False positives (FPs) pose a significant challenge in the
application of artificial intelligence (AI) for polyp detection during colonoscopy. The study …

In this study, we investigated the relationship between the cecal intubation time (CIT) and
the form and method used for passing through the sigmoid/descending colon junction (SDJ) …

Background The efficiency of artificial intelligence as computer‐aided detection (CADe)
systems for colorectal polyps has been demonstrated in several randomized trials. However …

Introduction Colorectal cancer (CRC) is the third most common malignancy and second
leading cause of cancer-related mortality in the world. Adenoma detection rate (ADR), a …

In the present prospective case series study, we investigated the lesion-detection ability of
an AI-equipped colonoscopy as an addition to colonoscopy (CS) screening. Participants …

Background and study aims Artificial Intelligence (AI) systems could make the optical
diagnosis (OD) of diminutive colorectal polyps (DCPs) more reliable and objective. This …

Objectives A computer‐aided detection (CAD) system was developed to support the
detection of colorectal lesions by deep learning using video images of lesions and normal …