Objective The main aim of this study was to analyze the performance of different artificial
intelligence (AI) models in endoscopic colonic polyp detection and classification and …

Background Artificial intelligence (AI)-based polyp detection systems are used during
colonoscopy with the aim of increasing lesion detection and improving colonoscopy quality …

Colonoscopy remains the gold standard exam for colorectal cancer screening due to its
ability to detect and resect pre-cancerous lesions in the colon. However, its performance is …

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

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

Background and aims Improving the rate of polyp detection is an important measure to
prevent colorectal cancer (CRC). Real-time automatic polyp detection systems, through …

Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent
evidence suggests that AI-based computer-aided detection (CADe) and computer-aided …

Methods To train the CADe, we retrospectively collected colonoscopy video data from
December 2017 to August 2018. Expert endoscopists annotated every frame of each video …

Background and Aims Artificial intelligence (AI) is being implemented in colonoscopy
practice, but no study has investigated whether AI is cost saving. We aimed to quantify the …

Abstract Background and Aim Multiple computer‐aided techniques utilizing artificial
intelligence (AI) have been created to improve the detection of polyps during colonoscopy …