AGA Clinical Practice Update on the Role of Artificial Intelligence in Colon Polyp Diagnosis and Management: Commentary.

Artificial Intelligence CADe CADx Colon Polyps Computer-Aided Detection Computer-Aided Diagnosis

Journal

Gastroenterology
ISSN: 1528-0012
Titre abrégé: Gastroenterology
Pays: United States
ID NLM: 0374630

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 23 01 2023
revised: 06 06 2023
accepted: 17 07 2023
medline: 21 11 2023
pubmed: 19 10 2023
entrez: 19 10 2023
Statut: ppublish

Résumé

The purpose of this American Gastroenterological Association (AGA) Institute Clinical Practice Update (CPU) is to review the available evidence and provide expert commentary on the current landscape of artificial intelligence in the evaluation and management of colorectal polyps. This CPU was commissioned and approved by the AGA Institute Clinical Practice Updates Committee (CPUC) and the AGA Governing Board to provide timely guidance on a topic of high clinical importance to the AGA membership and underwent internal peer review by the CPUC and external peer review through standard procedures of Gastroenterology. This Expert Commentary incorporates important as well as recently published studies in this field, and it reflects the experiences of the authors who are experienced endoscopists with expertise in the field of artificial intelligence and colorectal polyps.

Identifiants

pubmed: 37855759
pii: S0016-5085(23)04784-4
doi: 10.1053/j.gastro.2023.07.010
pii:
doi:

Types de publication

Practice Guideline

Langues

eng

Sous-ensembles de citation

IM

Pagination

1568-1573

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Jason Samarasena (J)

Division of Gastroenterology, University of California Irvine, Orange, California.

Dennis Yang (D)

Center for Interventional Endoscopy, AdventHealth, Orlando, Florida. Electronic address: dennis.yang.md@adventhealth.com.

Tyler M Berzin (TM)

Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.

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Classifications MeSH