Importance Despite the potential of machine learning to improve multiple aspects of patient
care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a …

In the past few decades, according to the rapid development of information technology,
artificial intelligence (AI) has also made significant progress in the medical field. Colorectal …

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

Abstract The Consolidated Standards of Reporting Trials extension for Artificial Intelligence
interventions (CONSORT-AI) was published in September 2020. Since its publication …

This scoping review of randomised controlled trials on artificial intelligence (AI) in clinical
practice reveals an expanding interest in AI across clinical specialties and locations. The …

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

Background: Artificial intelligence (AI) has emerged as a promising tool in healthcare, with
numerous studies indicating its potential to perform as well or better than clinicians …

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 …

Gastrointestinal cancers are characterized by high incidence and mortality. However, there
are well-established methods of screening. The endoscopy exam provides the …

Gastrointestinal endoscopy has proved to be a perfect context for the development of
artificial intelligence (AI) systems that can aid endoscopists in many tasks of their daily …