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Comparing Machine Learning Approaches for Predicting CFD-Derived Stroke Risk Indicators in Atrial Fibrillation Patients

2026-06-08

Abstract excerpt

Non-valvular atrial fibrillation (AF) is associated with a five-fold increased risk of stroke, mainly due to impaired contractility of the left atrium (LA) leading to blood stasis and subsequent thrombus formation within the left atrial appendage (LAA). Current AF stroke risk stratification schemes, such as the CHA₂DS₂-VASc/ CHA₂DS₂-VA score, use comorbidities and do not capture mechanistic factors like blood flow...

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Literature Corpus work
24c18a43-1f40-5905-b4b8-3306ce9d0ad1
DOI
10.64898/2026.06.04.730070
Open publication

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Comparing Machine Learning Approaches for Predicting CFD-Derived Stroke Risk Indicators in Atrial Fibrillation PatientsDOI 10.64898/2026.06.04.730070
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