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

Background The use of artificial intelligence (AI) in detecting colorectal neoplasia during
colonoscopy holds the potential to enhance adenoma detection rates (ADRs) and reduce …

Background This meta-analysis aimed to determine whether artificial intelligence (AI)
improves colonoscopy outcome metrics ie adenoma detection rate (ADR) and polyp …

Background and study aims With the advent of deep neural networks (DNN) learning, the
field of artificial intelligence (AI) is rapidly evolving. Recent randomized controlled trials …

Background: This study aimed to compare artificial intelligence (AI)-aided colonoscopy with
conventional colonoscopy for polyp detection. Methods: A systematic literature search was …

Background Colonoscopy is a mainstay to detect premalignant neoplastic lesions in the
colon. Real-time Artificial Intelligence (AI)-aided colonoscopy purportedly improves the …

Background In colonoscopy screening for colorectal cancer, human vision limitations may
lead to higher miss rate of lesions; artificial intelligence (AI) assistance has been …

Background and Aims Artificial intelligence (AI)–assisted colonoscopy improves polyp
detection and characterization in colonoscopy. However, data from large-scale multicenter …

Colonoscopy is an important method to diagnose polyps, especially adenomatous polyps.
However, the rate of missed diagnoses is relatively high. In this study, we aimed to …

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