Barrett esophagus: What to expect from Artificial Intelligence?


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

101726

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Alanna Ebigbo (A)

Department of Gastroenterology, University Hospital of Augsburg, Germany. Electronic address: alanna.ebigbo@gmx.de.

Christoph Palm (C)

Regensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Germany.

Helmut Messmann (H)

Department of Gastroenterology, University Hospital of Augsburg, Germany.

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Classifications MeSH