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Unsupervised machine learning of multimodal data to identify atrial fibrillation subgroups likely to benefit from pulmonary vein isolation
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Sex-based differences in bi-atrial structure, function, and electrophysiology in atrial fibrillation
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Impact of raised body mass index on bi-atrial structure, function, and electrophysiology in patients with atrial fibrillation
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Characterisation of the bi-atrial electrical substrate in males and females with atrial fibrillation
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Clinical Turing tests with user certainty analysis to create and validate synthetic electrocardiogram images for artificial intelligence-enhanced algorithm development
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Integrating clinical variables with magnetic resonance imaging and electroanatomic mapping parameters to predict response to first-time and repeat atrial fibrillation ablation procedures
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Feasibility of artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis in the current clinical environment: An online survey
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