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

Artificial intelligence (AI) algorithms and their application to disease detection and decision
support for healthcare professions have greatly evolved in the recent decade. AI has been …

Background and Aims Up to 30% of adenomas might be missed during screening
colonoscopy—these could be polyps that appear on-screen but are not recognized by …

Objective: The aim of this study was to develop and evaluate the performance of artificial
intelligence (AI) models that can identify safe and dangerous zones of dissection, and …

Importance Automatic surgical skill assessment with artificial intelligence (AI) is more
objective than manual video review–based skill assessment and can reduce human burden …

Objective To validate the newly developed artificial intelligence (AI)-assisted simulation by
evaluating the speed of three-dimensional (3D) reconstruction and accuracy of segmental …

Background and Aims Artificial intelligence (AI)-based applications have transformed
several industries and are widely used in various consumer products and services. In …

Background In colonoscopy screening for colorectal cancer, human vision limitations may
lead to higher miss rate of lesions; artificial intelligence (AI) assistance has been …

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

Introduction and objective Real-time artificial intelligence (AI) annotation of the surgical field
has the potential to automatically extract information from surgical videos, helping to create a …