Barrett esophagus: What to expect from Artificial Intelligence?

  • The evaluation and assessment of Barrett’s esophagus is challenging for both expert and nonexpert endoscopists. However, the early diagnosis of cancer in Barrett’s esophagus is crucial for its prognosis, and could save costs. Pre-clinical and clinical studies on the application of Artificial Intelligence (AI) in Barrett’s esophagus have shown promising results. In this review, we focus on the current challenges and future perspectives of implementing AI systems in the management of patients with Barrett’s esophagus.

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Metadaten
Author:Alanna EbigboORCiD, Christoph PalmORCiDGND, Helmut Messmann
DOI:https://doi.org/10.1016/j.bpg.2021.101726
ISSN:1521-6918
Parent Title (English):Best Practice & Research Clinical Gastroenterology
Publisher:Elsevier
Document Type:Article
Language:English
Date of first Publication:2021/02/08
Release Date:2021/03/10
Tag:Adenocarcinoma; Artificial intelligence; Barrett; Convolutional neural networks; Deep learning
GND Keyword:Deep Learning; Künstliche Intelligenz; Computerunterstützte Medizin
Institutes:Fakultät Informatik und Mathematik
Regensburg Center of Biomedical Engineering - RCBE
Regensburg Center of Health Sciences and Technology - RCHST
Regensburg Medical Image Computing - ReMIC
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke
6 Technik, Medizin, angewandte Wissenschaften
Begutachtungsstatus:peer-reviewed