Frederick T. Han

Atrial fibrillation detection performance of an insertable cardiac monitor: Results from an Assert-IQ post-market clinical study and a novel artificial intelligence algorithm

Ulrika Birgersdotter‐Green, Willibaldo Ojeda, Harish Manyam, George Manoukian et autres

Background: Accurate atrial fibrillation (AF) detection and burden assessment are critical features of modern insertable cardiac monitors (ICMs), enabling precise determination of AF episode patterns, frequency, duration, and total burden to guide treatments. Objective: This study aimed to evaluate the AF detection …

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742 Long term causal effects of ivacaftor on airway microbiology and lung function outcomes in people with cystic fibrosis: An emulation of target trials with the U.S. CF Foundation Patient Registry data

Zixian Chen, J. Rodríguez Hernández, Frederick T. Han, Charles W. Goss et autres

AB-499660-005 PROSPECTIVE NON-INVASIVE ARTIFICIAL INTELLIGENCE-BASED CT AND ECG LOCALIZATION OF SCAR-BASED VENTRICULAR ARRHYTHMIAS

Gordon Ho, Christopher Villongco, Kevin Sung, Frederick T. Han et autres

SHORT- AND LONG-TERM OUTCOMES OF LEADLESS VERSUS TRANSVENOUS PACEMAKERS: A LONGITUDINAL FOLLOW-UP STUDY

Kavin Raj, Keerthana Jyotheeswara Pillai, Frederick T. Han, Kurt S. Hoffmayer et autres

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A RARE GLIMPSE INTO THE ELECTROCARDIOGRAPHIC DATA PRECEDING SUDDEN CARDIAC DEATH THROUGH THE LENS OF A CARDIAC EVENT MONITOR

Samhita Palakodeti, Frederick T. Han, David Barba

Abstract 4139637: Artificial Intelligence ECG Mapping of Biventricular Pacing QRS Morphology Predicts Response to Cardiac Resynchronization Therapy

Kendall Oliver, Stephanie Hull, Mariana Velasquez, Peter Hall et autres

Background: Cardiac resynchronization therapy (CRT) is an important treatment modality for patients with heart failure and electrical dyssynchrony. A current limitation is that approximately 30% of patients do not respond, and identification of patients at greater risk for suboptimal outcome remains challenging. …

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Contributors

Amin Al‐Ahmad, Jason G. Andrade, Rishi Arora, Arash Aryana et autres

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Ablation of Cavotricuspid Isthmus–Dependent Atrial Flutters

Gregory K. Feld, Jonathan C. Hsu, Kurt S. Hoffmayer, Frederick T. Han et autres

Authors' response to letter to the editor regarding impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use

Sutton R. Fox, Avinash Toomu, Kelly Gu, Jessica Kang et autres

Research study provides an early assessment of the benefits of an artificial intelligence arrhythmia mapping technology in time to first ablation, total procedure duration, and fluoroscopy use using 12-lead ECG data.#EPeeps #ACCEP #ACCInnovation #JACCAdvances

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Infra-Hisian Conduction Disturbance and Alternating Left Anterior/Posterior Fascicular Block

Anne‐Sophie Lacharite‐Roberge, Gregory M. Petersen, Kavisha Patel, Jonathan C. Hsu et autres

We present an unusual case of alternating left anterior and left posterior fascicular block. Given the known risk for progression to complete atrioventricular block with alternating right bundle and left bundle branch block, we performed an electrophysiological study. Findings were consistent with …

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PO-06-120 NON-INVASIVE CO-LOCALIZATION OF VENTRICULAR TACHYCARDIA ISTHMUSES AND SCAR USING INTEGRATED ARTIFICIAL INTELLIGENCE-BASED CT AND ECG ANALYSIS

Gordon Ho, Christopher Villongco, Frederick T. Han, Jonathan C. Hsu et autres

PO-06-117 CLINICAL OUTCOMES OF PROSPECTIVE COMPUTATIONAL 12-LEAD ECG MAPPING GUIDED PVC ABLATION

Kevin Sung, Gregory K. Feld, Frederick T. Han, Jonathan C. Hsu et autres