Diagnostic errors impact patient health and healthcare costs. Artificial Intelligence (AI) shows
promise in mitigating this burden by supporting Medical Doctors in decision-making …

A major challenge in applying deep learning to medical imaging is the paucity of annotated
data. This study explores the use of synthetic images for data augmentation to address the …

Colorectal cancer has been one of the leading causes of mortality over the past decade, and
colorectal polyps are the leading cause of this disease. Conventional polyp detection …

Colorectal cancer is a common malignant tumour of the gastrointestinal tract. Studies have
shown that colonoscopy can be an effective screening method for detecting colon polyps …

Background: Artificial intelligence (AI) could minimize the operator-dependent variation in
colonoscopy quality. Computer-aided detection (CADe) has improved adenoma detection …

Abstract Background and Aims Screening colonoscopy has significantly contributed to the
reduction of the incidence of colorectal cancer (CRC) and its associated mortality, with …

Introduction Colorectal cancer (CRC) is the third most common malignancy and second
leading cause of cancer-related mortality in the world. Adenoma detection rate (ADR), a …

Introduction: Early cancer detection can lead to improved outcomes and a shift toward a
prevention model. This review explores the role of artificial intelligence (AI) in early cancer …

Aim Proximal and distal colorectal cancers (CRCs) exhibit different clinical, molecular and
biological patterns. The aim of this study was to determine temporal trends in the age …

Background and aims The progress of artificial intelligence (AI) in endoscopy is at a
crossroads. The positive results of randomized controlled trials (RCT) of computer-aided …