Background and Aims Computer-aided detection (CADe) has been shown to improve polyp
detection in clinical trials. Limited data exist on the impact, utilization, and attitudes toward …

METHODS: Between September 28, 2020, and September 24, 2021, a randomized
controlled trial (AI-SEE) was performed evaluating the impact of CADe on polyp detection in …

Artificial intelligence (AI) has increasingly been employed in multiple fields, and there has
been significant interest in its use within gastrointestinal endoscopy. Computer-aided …

Abstract Introduction: Computer-aided detection (CADe) helps increase colonoscopic polyp
detection. However, little is known about other performance metrics like the number and …

Purpose Computer-aided polyp detection (CADe) systems for colonoscopy are already
presented to increase adenoma detection rate (ADR) in randomized clinical trials. Those …

Background The effect of computer-aided polyp detection (CADe) on adenoma detection
rate (ADR) among endoscopists-in-training remains unknown. Methods We performed a …

Background The occurrence of false-positive alerts is an important outcome measure in
computer-aided colon polyp detection (CADe) studies. However, there is no consensus …

Background Artificial intelligence systems have been developed to improve polyp detection.
We aimed to evaluate the effect of real-time computer-aided detection (CADe) on the …

Background Polyp detection and resection during colonoscopy significantly reduce long-
term colorectal cancer risk. Computer-aided detection (CADe) may increase polyp …

Methods A comprehensive literature search was performed. Randomized controlled trials
evaluating CADe systems categorized by morphology and lesion size were included. The …