Several studies have shown a significant adenoma miss rate up to 35% during screening
colonoscopy, especially in patients with diminutive adenomas. The use of artificial …

Aim The use of artificial intelligence represents an objective approach to increase
endoscopist's adenoma detection rate (ADR) and limit interoperator variability. In this study …

Background and Aims One-fourth of colorectal neoplasia are missed at screening
colonoscopy, representing the main cause of interval colorectal cancer. Deep learning …

Abstract Background and Aim The utility of artificial intelligence (AI) in colonoscopy has
gained popularity in current times. Recent trials have evaluated the efficacy of deep …

Background & Aims The benefit of colonoscopy for colorectal cancer prevention depends on
the adenoma detection rate (ADR). The ADR should reflect the adenoma prevalence rate …

Colorectal cancer (CRC) is one of the main alimentary tract system malignancies affecting
people worldwide. Adenomatous polyps are precursors of CRC, and therefore, preventing …

Colorectal cancer (CRC) is one of the most common causes of cancer mortality in the world.
The incidence is related to increases with age and western dietary habits. Early detection …

Background and Aims Artificial intelligence (AI)–assisted polyp detection systems for
colonoscopic use are currently attracting attention because they may reduce the possibility …

Background: In the past, image-based computer-assisted diagnosis and detection systems
have been driven mainly from the field of radiology, and more specifically mammography …

Colonoscopy remains the standard strategy for screening for colorectal cancer around the
world due to its efficacy in both detecting adenomatous or pre-cancerous lesions and the …