Barrett esophagus: What to expect from Artificial Intelligence?. (June 2021)

• Record Type: Journal Article
• Authors: Ebigbo, Alanna; Palm, Christoph; Messmann, Helmut
• Is Part Of: Best practice & research. Volume 52/53(2021)
• Publication Date: 2021-06
• Subjects: Barrett -- Adenocarcinoma -- Artificial intelligence -- Deep learning -- Convolutional neural networks; Gastroenterology -- Periodicals; Gastrointestinal system -- Diseases -- Periodicals; Gastrointestinal Diseases; Gastroenterology; Klinische geneeskunde; Gastro-enterologie; Gastroenterology; Gastrointestinal system -- Diseases; Periodicals; 616.33005
• DOI: 10.1016/j.bpg.2021.101726
• Languages: English
• ISSNs: 1521-6918

Abstract

Abstract: 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.