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

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 …

Colorectal polyp recognition is crucial for early colorectal cancer detection and treatment.
Colonoscopy is always employed for colorectal polyp scanning. However, one out of four …

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 & Aims One-fourth of colorectal neoplasias are missed during screening
colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems …

Background & Aims Estimates of disease burden can inform national health priorities for
research, clinical care, and policy. We aimed to estimate health care use and spending …

The incidence of colorectal cancer (CRC) is increasing worldwide. CRC has high mortality
when detected at advanced stages, yet it is also highly preventable. Given the difficulties in …

Identifying polyps is challenging for automatic analysis of endoscopic images in computer-
aided clinical support systems. Models based on convolutional networks (CNN) …