Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Artificial intelligence (AI) and machine learning (ML) systems are increasingly used in
medicine to improve clinical decision-making and healthcare delivery. In gastroenterology …

Colorectal cancer is a major health problem, where advances towards computer-aided
diagnosis (CAD) systems to assist the endoscopist can be a promising path to improvement …

Background Polyp detection and resection during colonoscopy significantly reduce long-
term colorectal cancer risk. Computer-aided detection (CADe) may increase polyp …

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 …

Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …

Artificial intelligence shows promise for clinical research in inflammatory bowel disease
endoscopy. Accurate assessment of endoscopic activity is important in clinical practice and …

Background Endoscopic resection (ER) is widely applied to treat early colorectal cancer
(CRC). Predicting the invasion depth of early CRC is critical in determining treatment …

Cancer continues to affect underserved populations disproportionately. Novel optical
imaging technologies, which can provide rapid, non-invasive, and accurate cancer detection …