An Artificial Intelligence-Enabled ECG Algorithm for Predicting the Risk of Recurrence in Patients with Paroxysmal Atrial Fibrillation after Catheter Ablation
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Title
An Artificial Intelligence-Enabled ECG Algorithm for Predicting the Risk of Recurrence in Patients with Paroxysmal Atrial Fibrillation after Catheter Ablation
Authors
Keywords
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Journal
Journal of Clinical Medicine
Volume 12, Issue 5, Pages 1933
Publisher
MDPI AG
Online
2023-03-01
DOI
10.3390/jcm12051933
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Note: Only part of the references are listed.- Detection of Left Atrial Enlargement Using a Convolutional Neural Network-Enabled Electrocardiogram
- (2021) Junrong Jiang et al. Frontiers in Cardiovascular Medicine
- Early detection of ST-segment elevated myocardial infarction by artificial intelligence with 12-lead electrocardiogram
- (2020) Yifan Zhao et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- Performance of a convolutional neural network derived from an ECG database in recognizing myocardial infarction
- (2020) Hisaki Makimoto et al. Scientific Reports
- Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation
- (2020) Julie K. Shade et al. Circulation-Arrhythmia and Electrophysiology
- 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association of Cardio-Thoracic Surgery (EACTS)
- (2020) Gerhard Hindricks et al. EUROPEAN HEART JOURNAL
- Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association
- (2019) Emelia J. Benjamin et al. CIRCULATION
- A Deep Learning Approach for Assessment of Regional Wall Motion Abnormality From Echocardiographic Images
- (2019) Kenya Kusunose et al. JACC-Cardiovascular Imaging
- An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
- (2019) Zachi I Attia et al. LANCET
- Atrial Fibrillation Ablation
- (2018) Rakesh Latchamsetty et al. Annual Review of Medicine
- Left atrial geometry and outcome of atrial fibrillation ablation: results from the multicentre LAGO-AF study
- (2018) Felipe Bisbal et al. European Heart Journal-Cardiovascular Imaging
- Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms
- (2018) Jan Budzianowski et al. HEART AND VESSELS
- Validation of the MB-LATER score for prediction of late recurrence after catheter-ablation of atrial fibrillation
- (2018) Tatjana S. Potpara et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- Using the MB-LATER score for predicting arrhythmia outcome after catheter ablation for atrial fibrillation: The Guangzhou atrial fibrillation project
- (2018) Hai Deng et al. INTERNATIONAL JOURNAL OF CLINICAL PRACTICE
- Prediction of electro-anatomical substrate and arrhythmia recurrences using APPLE, DR-FLASH and MB-LATER scores in patients with atrial fibrillation undergoing catheter ablation
- (2018) Jelena Kornej et al. Scientific Reports
- Clinical scores used for the prediction of negative events in patients undergoing catheter ablation for atrial fibrillation
- (2018) Falco Kosich et al. CLINICAL CARDIOLOGY
- Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
- (2018) Zachi I. Attia et al. NATURE MEDICINE
- Development and validation of a risk score for predicting atrial fibrillation recurrence after a first catheter ablation procedure – ATLAS score
- (2017) João Mesquita et al. EUROPACE
- Novel Computational Analysis of Left Atrial Anatomy Improves Prediction of Atrial Fibrillation Recurrence after Ablation
- (2017) Marta Varela et al. Frontiers in Physiology
- The APPLE Score – A Novel Score for the Prediction of Rhythm Outcomes after Repeat Catheter Ablation of Atrial Fibrillation
- (2017) Jelena Kornej et al. PLoS One
- Prediction of very late arrhythmia recurrence after radiofrequency catheter ablation of atrial fibrillation: The MB-LATER clinical score
- (2017) Nebojša Mujović et al. Scientific Reports
- Predicting atrial fibrillation ablation outcome: The CAAP-AF score
- (2016) Roger A. Winkle et al. HEART RHYTHM
- The APPLE score: a novel and simple score for the prediction of rhythm outcomes after catheter ablation of atrial fibrillation
- (2015) Jelena Kornej et al. Clinical Research in Cardiology
- Prospective, multicenter validation of a clinical risk score for left atrial arrhythmogenic substrate based on voltage analysis: DR-FLASH score
- (2015) Jedrzej Kosiuk et al. HEART RHYTHM
- A proposal for a new scoring system in the prediction of catheter ablation outcomes: Promising results from the Turkish Cryoablation Registry
- (2013) Uğur Canpolat et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
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