Inflammatory bowel disease (IBD) is a complex and multifaceted disorder of the
gastrointestinal tract that is increasing in incidence worldwide and associated with …

Artificial intelligence (AI) has arrived and it will directly impact how we assess, monitor, and
manage inflammatory bowel disease (IBD). Advances in the machine learning …

Rationale and Objectives High-resolution computed tomography (HRCT) is paramount in
the assessment of interstitial lung disease (ILD). Yet, HRCT interpretation of ILDs may be …

Abstract Background and Aims Passable intestinal strictures are frequently detected on
capsule endoscopy [CE]. Such strictures are a major component of inflammatory scores …

Artificial intelligence, and in particular deep learning using convolutional neural networks,
has been used extensively for image classification and segmentation, including on medical …

Artificial intelligence, a computer-based concept that tries to mimic human thinking, is slowly
becoming part of the endoscopy lab. It has developed considerably since the first attempt at …

Abstract Background and Aims Capsule endoscopy is a central element in the management
of patients with suspected or known Crohn's disease. In 2017, PillCam™ Crohn's Capsule …

Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes:
Crohn's disease and ulcerative colitis. Considering the differences in pathogenesis, etiology …

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 …

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