Artificial intelligence (AI) and its application in medicine has grown large interest. Within
gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most …

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

Colonoscopy is an effective screening procedure in colorectal cancer prevention programs;
however, colonoscopy practice can vary in terms of lesion detection, classification, and …

Abstract The American Society for Gastrointestinal Endoscopy (ASGE) has proposed the
“resect-and-discard” and “diagnose-and-leave” strategies for diminutive colorectal polyps to …

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 …

Lesions missed by colonoscopy are one of the main reasons for post-colonoscopy colorectal
cancer, which is usually associated with a worse prognosis. Because the adenoma miss rate …

Goals and background Studies analyzing artificial intelligence (AI) in colonoscopies have
reported improvements in detecting colorectal cancer (CRC) lesions, however its utility in the …

With recent significant improvements in artificial intelligence (AI), especially in the field of
deep learning, an increasing number of studies have evaluated the use of AI in endoscopy …

Artificial intelligence (AI) is a computer technology for mathematical modeling that uses
nonlinear statistical analysis. While multilayer perceptron network is used for prediction of …

Objectives: Multiple meta-analyses which investigated the comparative efficacy and safety of
artificial intelligence (AI)-aid colonoscopy (AIC) vs. conventional colonoscopy (CC) in the …