Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI
technology can be subdivided into many technologies such as machine learning and deep …

Aims: This meta-analysis aims to quantify the effectiveness of artificial intelligence (AI)-
supported colonoscopy compared to standard colonoscopy in adenoma detection rate …

More than 900 000 deaths were caused by Colorectal Cancer (CRC) in 2020. Colonoscopy
is the gold standard for colorectal cancer screening, with studies concluding that …

Despite the successful demonstration of the deep learning architectures for Automatic
Colonoscopy Polyp Detection (ACPD), studies have argued upon human bias, and lack of …

Colorectal polyps is a prevalent medical condition that could lead to colorectal cancer, a
leading cause of cancer-related mortality globally, if left undiagnosed. Colonoscopy remains …

Artificial intelligence (AI) is assuming an increasingly important and central role in several
medical fields. Its application in endoscopy provides a powerful tool supporting human …

Background Computer-aided detection (CADe) of colorectal polyps has been shown to
increase adenoma detection rates, which would potentially shorten subsequent surveillance …

There is an emerging role of artificial intelligence (AI) in endoscopy with studies on early
systems showing promising results. However, various limitations inhibit widespread use …

Background Endoscopic submucosal dissection (ESD), a minimally invasive surgery used to
treat early gastrointestinal malignancies, has been widely embraced around the world. The …

Gastrointestinal (GI) endoscopy has transformed over the years in scope, safety, accuracy,
acceptability, and cost effectiveness of the clinical practice. There has been a reduction in …