The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update.
Artificial intelligence
Deep learning
Digital histopathology
Journal
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
ISSN: 1542-7714
Titre abrégé: Clin Gastroenterol Hepatol
Pays: United States
ID NLM: 101160775
Informations de publication
Date de publication:
26 Dec 2023
26 Dec 2023
Historique:
received:
28
08
2023
revised:
20
11
2023
accepted:
21
11
2023
medline:
29
12
2023
pubmed:
29
12
2023
entrez:
28
12
2023
Statut:
aheadofprint
Résumé
Significant advances in artificial intelligence (AI) over the past decade may potentially lead to dramatic effects on clinical practice. Digitized histology represents an area ripe for AI implementation. We describe several current needs within the world of gastrointestinal histopathology, and outline, using currently studied models, how AI can potentially address them. We also highlight pitfalls as AI makes inroads into clinical practice.
Identifiants
pubmed: 38154727
pii: S1542-3565(23)01050-9
doi: 10.1016/j.cgh.2023.11.044
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023 AGA Institute. Published by Elsevier Inc. All rights reserved.