Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …

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 …

In this paper, we study human–AI collaboration protocols, a design-oriented construct aimed
at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We …

Colorectal cancer screening plays a vital role in early detection and removal of
precancerous adenomas, contributing to decreased mortality rates. Most polyps found …

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 …

Esophagogastroduodenoscopy (EGD) screening is being implemented in countries with a
high incidence of upper gastrointestinal (UGI) cancer. High‐quality EGD screening ensures …

While research on machine learning and artificial intelligence (AI) applications for polyp
detection in colonoscopy have existed since at least the early 1990s (1), there has been a …

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

The number and variety of applications of artificial intelligence (AI) in gastrointestinal (GI)
endoscopy is growing rapidly. New technologies based on machine learning (ML) and …

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