Simple Summary There has been an exponential rise in the availability of artificial
intelligence systems in endoscopy in recent years. As a result, maintaining an informed …

Artificial intelligence (AI) has the potential to assist in endoscopy and improve decision
making, particularly in situations where humans may make inconsistent judgments. The …

Despite the successful demonstration of the deep learning architectures for Automatic
Colonoscopy Polyp Detection (ACPD), studies have argued upon human bias, and lack of …

Background Benefits of computer-aided detection (CADe) in detecting colorectal neoplasia
were shown in many randomized trials where endoscopists' behavior was strictly controlled …

The rapid development of technology requires several technological fields to keep pace to
increase work effectiveness and efficiency. One focus that is widely used is image …

Description The purpose of this American Gastroenterological Association (AGA) Institute
Clinical Practice Update (CPU) is to review the available evidence and provide expert …

Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide, being the
third most commonly diagnosed malignancy and the second leading cause of cancer …

Introduction The identification of early-stage colorectal cancers (CRC) and the resection of
pre-cancerous neoplastic lesions through colonoscopy allows to decrease both CRC …

Background: Artificial intelligence (AI) could minimize the operator-dependent variation in
colonoscopy quality. Computer-aided detection (CADe) has improved adenoma detection …

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 …