Capsule endoscopy is ideally suited to artificial intelligence‐based interpretation given its
reliance on pattern recognition in still images. Time saving viewing modes and lesion …

Artificial intelligence (AI) has revolutionized the medical diagnostic process of various
diseases. Since the manual reading of capsule endoscopy videos is a time-intensive, error …

Neural network‐based solutions are under development to alleviate physicians from the
tedious task of small‐bowel capsule endoscopy reviewing. Computer‐assisted detection is a …

The applicability of artificial intelligence (AI) in gastroenterology is a hot topic because of its
disruptive nature. Capsule endoscopy plays an important role in several areas of digestive …

Capsule endoscopy (CE) has been increasingly utilised in recent years as a minimally
invasive tool to investigate the whole gastrointestinal (GI) tract and a range of capsules are …

Unlike wired endoscopy, capsule endoscopy requires additional time for a clinical specialist
to review the operation and examine the lesions. To reduce the tedious review time and …

Simple Summary The exponential growth in artificial intelligence development, particularly
its application in capsule endoscopy, serves as a compelling model for gastroenterologists …

Capsule endoscopy has revolutionized the management of small-bowel diseases owing to
its convenience and noninvasiveness. Capsule endoscopy is a common method for the …

Background: Artificial intelligence (AI) is rapidly infiltrating multiple areas in medicine, with
gastrointestinal endoscopy paving the way in both research and clinical applications …

Background & Aims Capsule endoscopy has revolutionized investigation of the small bowel.
However, this technique produces a video that is 8–10 hours long, so analysis is time …