Barrett esophagus: What to expect from Artificial Intelligence?
Adenocarcinoma
Artificial intelligence
Barrett
Convolutional neural networks
Deep learning
Journal
Best practice & research. Clinical gastroenterology
ISSN: 1532-1916
Titre abrégé: Best Pract Res Clin Gastroenterol
Pays: Netherlands
ID NLM: 101120605
Informations de publication
Date de publication:
Historique:
received:
24
12
2020
revised:
30
01
2021
accepted:
01
02
2021
entrez:
26
6
2021
pubmed:
27
6
2021
medline:
21
7
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34172253
pii: S1521-6918(21)00002-0
doi: 10.1016/j.bpg.2021.101726
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
101726Informations de copyright
Copyright © 2021 Elsevier Ltd. All rights reserved.