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

Simple Summary In recent years, there has been an exponential rise in artificial intelligence-
based technology. Artificial intelligence has been applied to several medical disciplines …

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

Explainable artificial intelligence (XAI) is essential for enabling clinical users to get informed
decision support from AI and comply with evidence-based medical practice. Applying XAI in …

During the past decades, many automated image analysis methods have been developed
for colonoscopy. Real-time implementation of the most promising methods during …

Background & Aims Both computer-aided detection (CADe)-assisted and Endocuff-assisted
colonoscopy have been found to increase adenoma detection. We investigated the …

Artificial intelligence (AI) is a powerful and increasingly prevalent technology that will likely
transform pediatric endoscopic practice. Endoscopy, which lends itself to imaging data, is …

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

Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy heralds a significant
leap forward in managing GI disorders. AI-enabled applications, such as computer-aided …

Aims: This meta-analysis aims to quantify the effectiveness of artificial intelligence (AI)-
supported colonoscopy compared to standard colonoscopy in adenoma detection rate …