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
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