Digital twin integrating clinical, morphological and hemodynamic data to identify stroke risk factors

Digital twin integrating clinical, morphological and hemodynamic data to identify stroke risk factors

Abstract Stroke remains a leading global cause of mortality, with ischemic stroke as the most common subtype. Atrial fibrillation (AF) increases ischemic stroke risk due to thrombus formation in the left atrium (LA), particularly in the left atrial appendage (LAA). Traditional risk assessments, like...

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Bibliographic Details
Main Authors: Marta Saiz-Vivó, Jordi Mill, Xavier Iriart, Hubert Cochet, Gemma Piella, Maxime Sermesant, Oscar Camara
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01676-1
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