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 …

Colon cancer is a major public health issue, affecting a growing number of individuals
worldwide. Proper and early diagnosis of colon cancer is the necessary first step toward …

Background Colonoscopy remains the gold-standard screening for colorectal cancer.
However, significant miss rates for polyps have been reported, particularly when there are …

Artificial intelligence (AI) in GI endoscopy holds tremendous promise to augment clinical
performance, establish better treatment plans, and improve patient outcomes. Although …

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

Colonoscopy remains the standard strategy for screening for colorectal cancer around the
world due to its efficacy in both detecting adenomatous or pre-cancerous lesions and the …

Background Artificial intelligence (AI) using deep learning methods for polyp detection
(CADe) and characterization (CADx) is on the verge of clinical application. CADe already …

Background and Aims Artificial intelligence (AI)-based applications have transformed
several industries and are widely used in various consumer products and services. In …

Background and Aims Artificial intelligence (AI), specifically deep learning, offers the
potential to enhance the field of GI endoscopy in areas ranging from lesion detection and …

Introduction Artificial intelligence (AI) in gastrointestinal endoscopy includes systems
designed to interpret medical images and increase sensitivity during examination. This may …