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51. Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology

53. Guidance for Rebooting Electrophysiology Through the COVID-19 Pandemic From the Heart Rhythm Society and the American Heart Association Electrocardiography and Arrhythmias Committee of the Council on Clinical Cardiology

56. Research Needs and Priorities for Catheter Ablation of Atrial Fibrillation: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop

57. Comparative arrhythmia patterns among patients on tyrosine kinase inhibitors

58. PO-04-062 CRYOABLATION OF INTRAMURAL SUBSTRATE IN AN IDIOPATHIC CRUX VT MAPPED BY NAVIGATING OTHERWISE INACCESSIBLE CS ANATOMY USING 2FR MAPPING CATHETER

59. PO-04-075 TRANSVENOUS CARDIAC DEFIBRILLATOR WITHOUT INTERACTION WITH THE MAGNETIC TITANIUM BEADS SYSTEM FOR GASTROESOPHAGEAL REFLUX DISEASE

60. PO-04-196 MULTIVARIATE PREDICTORS OF MORTALITY IN PATIENTS WITH VENTRICULAR TACHYARRHYTHMIA: INSIGHTS FROM A COMMUNITY COHORT OF 24000 INDIVIDUALS

61. PO-05-195 PREDICTORS OF ATRIAL AND VENTRICULAR ARRHYTHMIAS IN PATIENTS ON IBRUTINIB COMPARED TO NON-BRUTON’S TYROSINE KINASE INHIBITORS

63. PO-03-202 WOMEN TRAINEES IN ELECTROPHYSIOLOGY AND THE EFFECT OF ROLE MODELS

66. PO-04-124 ARRHYTHMIAS INCLUDING ATRIAL FIBRILLATION IN KLEEFSTRA SYNDROME: A POSSIBLE EPIGENETIC LINK

67. Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography

72. Contributors

74. Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms

75. DISABILITIES REPORTING IN CLINICAL TRIALS. HOW ARE WE DOING?

76. WHO ARE WE MISSING? REPORTING OF TRANSGENDER AND GENDER EXPANSIVE POPULATIONS IN CLINICAL TRIALS

77. Randomized Clinical Trial to Evaluate an Atrial Fibrillation Stroke Prevention Shared Decision‐Making Pathway

80. Case 99

81. Case 123

82. Case 103

84. Comparison of Age (

85. Tyrosine kinase inhibitor–associated ventricular arrhythmias: a case series and review of literature

87. Interaction of Localized Drivers and Disorganized Activation in Persistent Atrial Fibrillation: Reconciling Putative Mechanisms Using Multiple Mapping Techniques

94. Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes

100. Abstract 14589: Mechanisms for Persistent Atrial Fibrillation - Comparing Multiple Mapping Methods at Sites of Termination: The International COMPARE-AF Registry

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