Abstract Background and Aims Benefits of computer-aided detection (CADe) in detecting
colorectal neoplasia were shown in many randomized trials in which endoscopists' behavior …

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 …

Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

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 …

Circulating tumor DNA (ctDNA) is naked DNA molecules shed from the tumor cells into the
peripheral blood circulation. They contain tumor‐specific gene mutations and other valuable …

Background Increased polyp detection during colonoscopy is associated with decreased
post-colonoscopy colorectal cancer incidence and mortality. The COLO-DETECT trial aimed …

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

Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …

Background: Artificial intelligence (AI) using deep learning systems has recently been
utilized in various medical fields. In the field of gastroenterology, AI is primarily implemented …