Summary Background Computer-aided detection (CADe) techniques based on artificial
intelligence algorithms can assist endoscopists in detecting colorectal neoplasia. CADe has …

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

This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the
diagnosis and management of gastrointestinal neoplasia within the framework of the …

The number of artificial intelligence (AI) tools for colonoscopy on the market is increasing
with supporting clinical evidence. Nevertheless, their implementation is not going smoothly …

Background and Aims Artificial intelligence–based computer-aid detection (CADe) devices
have been recently tested in colonoscopies, increasing the adenoma detection rate (ADR) …

In the past few years, we have seen a surge in the development of relevant artificial
intelligence (AI) algorithms addressing a variety of needs in GI endoscopy. To accept AI …

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 …

Simple Summary There has been an exponential rise in the availability of artificial
intelligence systems in endoscopy in recent years. As a result, maintaining an informed …

Artificial intelligence (AI) has the potential to assist in endoscopy and improve decision
making, particularly in situations where humans may make inconsistent judgments. The …

Background Multiple computer-aided systems for polyp detection (CADe) have been
introduced into clinical practice, with an unclear effect on examiner behavior. This study …