Introduction Artificial intelligence is already widely utilized in gastroenterology. This study
aims to comprehensively evaluate the research hotspots and development trends within the …

Introduction The identification of early-stage colorectal cancers (CRC) and the resection of
pre-cancerous neoplastic lesions through colonoscopy allows to decrease both CRC …

This study evaluated the impact of differing false positive (FP) rates in two computer-aided
detection (CADe) systems on the clinical effectiveness of artificial intelligence (AI)-assisted …

Background/Aims We investigated how interactions between humans and computer-aided
detection (CADe) systems are influenced by the user's experience and polyp characteristics …

Gastrointestinal polyps are early indicators of many significant diseases within the digestive
system, and timely detection of these polyps is crucial for preventing them. Although clinical …

Artificial intelligence (AI) has emerged rapidly as an innovative technology in various
medical domains, including gastroenterology. Among its most promising applications is the …

Artificial intelligence (AI) is making significant strides in revolutionizing the detection of
Barrett's esophagus (BE), a precursor to esophageal adenocarcinoma. In the research …

Background: Endoscopic assessment for the diagnosis of gastric cancer is limited by
interoperator variability and lack of real-time capability. Recently, Raman spectroscopy …

This leaves us with the decisive question: Quo vadis artificial intelligence?[4]. The current
work and its motivation provide at least part of the answer. Constant interrogations, re …

Background and aims Adenoma detection rate (ADR) serves as a primary quality metric in
colonoscopy. Various computer-aided detection (CADe) tools have emerged, yielding …