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Predicting PVI Non-Responders using machine learning on left-atrial electroanatomic mapping data
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Unsupervised machine learning stratifies AF patients into phenotypes linked to post-PVI recurrence
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The Value of unipolar Mapping in the Atria: a helpful tool in detecting atrial tachycardias and predicting arrhythmia recurrence
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Unipolar electroanatomical mapping outperforms bipolar voltage in detecting LGE areas in the left atrium
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Atrial functional mitral regurgitation as a marker of atrial remodeling and ablation outcomes in atrial fibrillation patients
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Predicting atrial fibrillation ablation success: a novel approach using pre-procedure sinus rhythm ecg and deep learning
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Electrograms from the coronary sinus as a predictor for the outcome of a re-do pulmonary vein isolation.
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