Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …

The health care sector is totally different from any other industry. It is a high priority sector
and consumers expect the highest level of care and services regardless of cost. The health …

Aim and scope Artificial intelligence (AI) in medicine is a fast-growing field. The rise of deep
learning algorithms, such as convolutional neural networks (CNNs), offers fascinating …

Background and Aims Although erosions and ulcerations are the most common small-bowel
abnormalities found on wireless capsule endoscopy (WCE), a computer-aided detection …

Background and Aims Deep learning is an innovative algorithm based on neural networks.
Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small …

Background and Aim Although small‐bowel angioectasia is reported as the most common
cause of bleeding in patients and frequently diagnosed by capsule endoscopy (CE) in …

This paper proposes a novel methodology for automatic detection and localization of
gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed …

Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging
task. Typically, these images suffer from low contrast, complex background, variations in …

A novel computer-aided detection method based on deep learning framework was proposed
to detect small intestinal ulcer and erosion in wireless capsule endoscopy (WCE) images. To …

Artificial intelligence (AI) enables machines to provide unparalleled value in a myriad of
industries and applications. In recent years, researchers have harnessed artificial …