A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
15 Jan 2024
Historique:
medline: 31 1 2024
pubmed: 31 1 2024
entrez: 31 1 2024
Statut: epublish

Résumé

Stroke, a major global health concern often rooted in cardiac dynamics, demands precise risk evaluation for targeted intervention. Current risk models, like the CHA

Identifiants

pubmed: 38293150
doi: 10.1101/2024.01.11.575156
pmc: PMC10827064
pii:
doi:

Types de publication

Preprint

Langues

eng

Auteurs

Classifications MeSH