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

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 …

Abstract Purpose of Review Artificial intelligence (AI) is a rapidly growing field in
gastrointestinal endoscopy, and its potential applications are virtually endless, with studies …

Manual detection of colorectal polyps in the colonoscopy videos during diagnosis of
colorectal cancer can be challenging due to the large no. of sequential frames and high …

Studying individual data types in isolation provides only limited and incomplete answers to
complex biological questions and particularly falls short in revealing sufficient mechanistic …

This paper provides an overview of the Medical Visual Question Answering for
Gastrointestinal Tract (MedVQA-GI) challenge held at ImageCLEF 2023, a new challenge …

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 …

Background and Aim With the increasing burden of colorectal cancer (CRC), the practice of
colonoscopy is gaining attention worldwide. However, it exhibits distinct trends between …

New and emerging screening tools may also have a role in future CRC screening
strategies.[29] These can be largely divided into stool, blood, image-based screening tests …

Using a systematic literature search of original articles published during 2022 in
Gastrointestinal Endoscopy and other high-impact medical and gastroenterology journals …