Background and Aim Application of artificial intelligence in medicine is now attracting
substantial attention. In the field of gastrointestinal endoscopy, computer‐aided diagnosis …

Background and aims Computer-aided polyp detection (CADe) may become a standard for
polyp detection during colonoscopy. Several systems are already commercially available …

Background: Colonoscopy is the gold standard for polyp detection, but polyps may be
missed. Artificial intelligence (AI) technologies may assist in polyp detection. To date, most …

Colonoscopy remains the preeminent standard for screening for colorectal cancer around
the world owing to its effectiveness in both detecting adenomatous or pre-cancerous lesions …

Simple Summary There has been an exponential rise in the availability of artificial
intelligence systems in endoscopy in recent years. As a result, maintaining an informed …

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 …

Colon capsule endoscopy (CCE) was introduced nearly two decades ago. Initially, it was
limited by poor image quality and short battery time, but due to technical improvements, it …

Background and study aims Artificial intelligence (AI) in gastrointestinal endoscopy is
developing very fast. Computer-aided detection of polyps and computer-aided diagnosis …

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

Computer-aided diagnosis (CAD) is a tool with great potential to help endoscopists in the
tasks of detecting and histologically classifying colorectal polyps. In recent years, different …