Mortality from colorectal cancer is reduced through screening and early detection; moreover,
removal of neoplastic lesions can reduce cancer incidence. While understanding of the risk …

Background: Artificial intelligence computer-aided detection (CADe) of colorectal neoplasia
during colonoscopy may increase adenoma detection rates (ADRs) and reduce adenoma …

Colorectal cancer (CRC) is the third most common cancer in men and women in the United
States. CRC screening efforts are directed toward removal of adenomas and sessile …

Abstract Background & Aims Artificial intelligence (AI) may detect colorectal polyps that have
been missed due to perceptual pitfalls. By reducing such miss rate, AI may increase the …

Background Artificial intelligence (AI) tools increase detection of precancerous polyps during
colonoscopy and might contribute to long-term colorectal cancer prevention. The aim of the …

Background and aims Artificial intelligence has been shown to increase adenoma detection
rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which …

Background & Aims Artificial intelligence-based computer-aided polyp detection (CADe)
systems are intended to address the issue of missed polyps during colonoscopy. The effect …

Hundreds of millions of operations are performed worldwide each year, and the rising
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …

Colorectal cancer is one of the most common cancers worldwide, accounting for an annual
estimated 1.8 million incident cases. With the increasing number of colonoscopies being …

Abstract Background & Aims Colonoscopy for colorectal cancer screening is endoscopist
dependent, and colonoscopy quality improvement programs aim to improve efficacy. This …