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 …

Wireless capsule endoscopy (WCE) offers a non-invasive evaluation of the digestive system,
eliminating the need for sedation and the risks associated with conventional endoscopic …

Wireless capsule endoscopy (WCE) is a powerful tool for the diagnosis of gastrointestinal
diseases. The output of this tool is in video with a length of about eight hours, containing …

The role of capsule endoscopy and enteroscopy in managing various small-bowel
pathologies is well-established. However, their broader application has been hampered …

Wireless capsule endoscopy (WCE) is a technology for filming the gastrointestinal (GI) tract
to find abnormalities such as tumors, polyps, and bleeding. This paper proposes a new …

Wireless capsule endoscopy (WCE) plays an important role in diagnosing gastrointestinal
tract diseases. Efficiently pinpointing the pylorus and ileocecal valve, which mark the start …

Objective To extract texture features from vocal cord leukoplakia (VCL) images and establish
a VCL risk stratification prediction model using machine learning (ML) techniques. Methods …

Capsule endoscopy is a common method for detecting digestive diseases. The location of a
capsule endoscope should be constantly monitored through a visual inspection of the …

Abstract Machine learning and its specialized forms, such as Artificial Neural Networks and
Convolutional Neural Networks, are increasingly being used for detecting and managing …

Capsule endoscopy (CE) represents an important groundbreaking advancement in
gastrointestinal (GI) examinations, distinguished by its noninvasive, painless, and …