Capsule endoscopy (CE) is a valid alternative to conventional gastrointestinal (GI)
endoscopy tools. In CE, annotation tools are crucial in developing large and annotated …

Background and aims Capsule endoscopy (CE) has revolutionized small-bowel (SB)
investigation. Computational methods can enhance diagnostic yield (DY); however …

Aim Lower gastrointestinal (GI) diagnostics have been facing relentless capacity constraints
for many years, even before the COVID‐19 era. Restrictions from the COVID pandemic have …

Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early
diagnosis of colorectal diseases, there remains a large gap between the current state of …

Artificial Intelligence in Capsule Endoscopy: A Gamechanger for a Groundbreaking
Technique highlights the importance of Artificial Intelligence (AI) application in capsule …

In this review, we aim to illustrate the state-of-the-art artificial intelligence (AI) applications in
the field of capsule endoscopy. AI has made significant strides in gastrointestinal imaging …

Objectives Artificial intelligence (AI) may be practical for image classification of small bowel
capsule endoscopy (CE). However, creating a functional AI model is challenging. We …

The first step in reading a capsule endoscopy (CE) is determining the gastrointestinal (GI)
organ. Because CE produces too many inappropriate and repetitive images, automatic …

We read with interest the editorial by Hassan et al [1] entitled “AI everywhere in endoscopy,
not only for detection and characterization,” prompted by the recent paper of Hansen et al …

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 …