The majority of the encouraging experimental results published on AI-based endoscopic
Computer-Aided Detection (CAD) systems have not yet been reproduced in clinical settings …

Gastroenterologists are estimated to misdiagnose up to 25% of esophageal
adenocarcinomas in Barrett's Esophagus patients. This prompts the need for more sensitive …

Computer-Aided Diagnosis (CADx) systems for characterization of Narrow-Band Imaging
(NBI) videos of suspected lesions in Barrett's Esophagus (BE) can assist endoscopists …

In the US, colorectal cancer is the second leading cause of cancer-related deaths behind
lung cancer, causing about 49,000 annual deaths. Colonoscopy is currently the gold …

Recognizing anatomical sections during colonoscopy is crucial for diagnosing colonic
diseases and generating accurate reports. While recent studies have endeavored to identify …

Over recent years, a paradigm shift has taken place in the development of endoscopic
imaging tools: from image enhancement towards image understanding. Automated image …

Routine surveillance endoscopies are currently used to detect dysplasia in patient with
Barrett's Esophagus (BE). However, most of these procedures are performed by non-expert …

Methods This study evaluated two prevalent AI systems in endoscopy: a computer-aided
detection (CADe) system for Barrett's neoplasia and a computer-aided diagnosis (CADx) …

The goal of endoscopic analysis is to find abnormal lesions and determine further therapy
from the obtained information. For example, in case of Barrett's esophagus, the objective of …

Automating the analysis of imagery of the Gastrointestinal (GI) tract captured during
endoscopy procedures has substantial potential benefits for patients, as it can provide …