Background Colonoscopy reduces the incidence of colorectal cancer (CRC) by allowing
detection and resection of neoplastic polyps. Evidence shows that many small polyps are …

Digital transformation is impacting every facet of science and society, not least because
there is a growing need for digital services and products with the COVID-19 pandemic. But …

Colorectal cancer is a major health problem, where advances towards computer-aided
diagnosis (CAD) systems to assist the endoscopist can be a promising path to improvement …

Automated examination of biomedical signals plays a vital role to diagnose diseases and
offers useful data to several applications in the areas of physiology, sports medicine, and …

Abstract Background and Aim Multiple computer‐aided techniques utilizing artificial
intelligence (AI) have been created to improve the detection of polyps during colonoscopy …

Colonic polyps detection remains an unsolved issue because of the wide variation in the
appearance, texture, color, size, and appearance of the multiple polyp-like imitators during …

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

Objective: The aim of this study was to build a SVM classifier using ResNet-3D algorithm by
artificial intelligence for prediction of synchronous PC. Background: Adequate detection and …

Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI
technology can be subdivided into many technologies such as machine learning and deep …

Colonoscopy is a safe and effective tool, but operator dependent. Room for improvement in
the quality of colonoscopy is the impetus for the development and measurement of …