AIMC Topic: Barrett Esophagus
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Advancement of artificial intelligence systems for surveillance endoscopy of Barrett's esophagus.
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Dec 8, 2023
Barrett's esophagus (BE) is a precursor disease for esophageal adenocarcinoma. Timely detection and treatment has significant influence on patient outcomes. Over the last years, several artificial intelligence (AI) systems have emerged to assist the ...
Towards a robust and compact deep learning system for primary detection of early Barrett's neoplasia: Initial image-based results of training on a multi-center retrospectively collected data set.
United European gastroenterology journal
Apr 24, 2023
INTRODUCTION: Endoscopic detection of early neoplasia in Barrett's esophagus is difficult. Computer Aided Detection (CADe) systems may assist in neoplasia detection. The aim of this study was to report the first steps in the development of a CADe sys...
Development of a deep learning model for the histologic diagnosis of dysplasia in Barrett's esophagus.
Gastrointestinal endoscopy
Jun 17, 2022
BACKGROUND AND AIMS: The risk of progression in Barrett's esophagus (BE) increases with development of dysplasia. There is a critical need to improve the diagnosis of BE dysplasia, given substantial interobserver disagreement among expert pathologist...
Deep learning for automatic diagnosis of gastric dysplasia using whole-slide histopathology images in endoscopic specimens.
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
Apr 8, 2022
BACKGROUND: Distinguishing gastric epithelial regeneration change from dysplasia and histopathological diagnosis of dysplasia is subject to interobserver disagreement in endoscopic specimens. In this study, we developed a method to distinguish gastri...
Comments on: "Endoscopic prediction of submucosal invasion in Barrett's cancer with the use of artificial intelligence: a pilot study".
Endoscopy
Jan 27, 2022
Identification of Barrett's esophagus in endoscopic images using deep learning.
BMC gastroenterology
Dec 17, 2021
BACKGROUND: Development of a deep learning method to identify Barrett's esophagus (BE) scopes in endoscopic images.
Artificial Intelligence and Deep Learning for Upper Gastrointestinal Neoplasia.
Gastroenterology
Dec 11, 2021
Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic upper GI endoscopy is affected by a substantial miss rate of neoplas...
Move Over, Colon. It's Time for the Esophagus to Take Center Stage for Artificial Intelligence and Computer-Aided Detection of Barrett's!
Gastroenterology
Jun 29, 2021
A Pilot Study on Automatic Three-Dimensional Quantification of Barrett's Esophagus for Risk Stratification and Therapy Monitoring.
Gastroenterology
Jun 8, 2021
BACKGROUND & AIMS: Barrett's epithelium measurement using widely accepted Prague C&M classification is highly operator dependent. We propose a novel methodology for measuring this risk score automatically. The method also enables quantification of th...
Pilot Projects
Imaging, Three-Dimensional
Predictive Value of Tests
Image Interpretation, Computer-Assisted
Treatment Outcome
Disease Progression
Severity of Illness Index
Deep Learning
Esophagogastric Junction
Reproducibility of Results
Male
Humans
Esophagoscopy
Barrett Esophagus
Risk Factors
Risk Assessment
Female
Automation
Aged
Esophageal Mucosa
Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning.
Nature medicine
Apr 15, 2021
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how to optimally combine them with expert knowledge and existing clinical decision pathways is still an open challenge. This question is particularly impo...
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