Artificial intelligence in vascular surgical decision making.
Artificial intelligence
Decision making
Machine learning
Precision medicine
Vascular disease
Journal
Seminars in vascular surgery
ISSN: 1558-4518
Titre abrégé: Semin Vasc Surg
Pays: United States
ID NLM: 8809602
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
02
01
2023
revised:
17
04
2023
accepted:
24
05
2023
medline:
1
11
2023
pubmed:
21
10
2023
entrez:
20
10
2023
Statut:
ppublish
Résumé
Despite advances in prevention, detection, and treatment, cardiovascular disease is a leading cause of mortality and represents a major health problem worldwide. Artificial intelligence and machine learning have brought new insights to the management of vascular diseases by allowing analysis of huge and complex datasets and by offering new techniques to develop advanced imaging analysis. Artificial intelligence-based applications have the potential to improve prognostic evaluation and evidence-based decision making and contribute to vascular therapeutic decision making. In this scoping review, we provide an overview on how artificial intelligence could help in vascular surgical clinical decision making, highlighting potential benefits, current limitations, and future challenges.
Identifiants
pubmed: 37863619
pii: S0895-7967(23)00039-X
doi: 10.1053/j.semvascsurg.2023.05.004
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
448-453Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.