Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation

Mean LAWT, easily assessed by commercially available machine learning software, is an independent predictor of time to AF recurrence after PVI in the long term. Whether patients with increased LAWT should receive tailored therapy deserves further investigation.

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Publication Details

Journal
Journal of Cardiovascular Electrophysiology
Published
2024-11-29
DOI
https://doi.org/10.1111/jce.16515
Citations
1
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.40
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article

Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation

João Abecasis, P Freitas, Francisco Moscoso Costa, Diogo Cavaco et al.
1 citations
Journal of Cardiovascular Electrophysiology
Atrial Fibrillation Management and Outcomes
0.40
article

Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation

João Abecasis, P Freitas, Francisco Moscoso Costa, Diogo Cavaco, Pedro Carmo, P Lopes, João Carmo, D Gomes, S Guerreiro, Pedro Adragão, Ana Rita Bello, Daniel Matos, Joana Certo Pereira, Jorge Ferreira, Francisco Gama, A.J.M. Ferreira, Gustavo Rodrigues, Francisco Bello Morgado, P Galvao Santos
article en
1 citations

Abstract

Mean LAWT, easily assessed by commercially available machine learning software, is an independent predictor of time to AF recurrence after PVI in the long term. Whether patients with increased LAWT should receive tailored therapy deserves further investigation.

Journal of Cardiovascular ElectrophysiologyVol. 36(2)
Lusíada University of Lisbon (PT), Hospital de Santa Cruz (PT), Hospital da Luz (PT)
Openalex Percentile: Top 30%
Atrial Fibrillation Management and Outcomes
0.40
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