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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

R. Passman

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Open access Aug 2026

Clinical and Economic Outcomes in Diagnostic-Naïve Medicare Fee-for-Service Beneficiaries Managed with Alert-Based Ambulatory Cardiac Monitors: the CAMELOT-ALERT Study.

BACKGROUND Ambulatory cardiac monitoring (ACM) is fundamental to arrhythmia evaluation, yet robust comparative evidence among alert-based monitoring strategies is lacking. OBJECTIVE To compare diagnostic yield and downstream clinical and economic outcomes among arrhythmia diagnosis-naïve Medicare Fee-For-Service (FFS...

Pierantonio Russo, Jordan B. Strom, R. Nathan et al. · 0 citations
Open access Oct 2026

Comparative Clinical Outcomes Across Ambulatory Cardiac Monitoring Modalities

A specific LTCM was associated with higher claims‐based arrhythmia yield and lower repeat monitoring than most alternatives, and with lower hospitalization, health care utilization, and costs, confirming observations in other payer populations.

Suneet Mittal, M. Reynolds, Alejandro G. Hughes et al. · 0 citations
Sep 2026

Rare Cardiac Genetic Variation Is Associated With Postoperative Atrial Fibrillation.

Rare pathogenic/LP variants in cardiomyopathy genes were associated with risk of POAF and reduced AF-free survival over long-term follow-up across cardiac and noncardiac surgery.

Zhan-Lin Chen, Anirudha S. Chandrabhatla, Anna Pfenniger et al. · 0 citations
Review Open access Sep 2026

Persistent iatrogenic atrial septal defect after single-puncture, double transseptal access for 4D ICE-guided left atrial appendage occlusion: Incidence and clinical outcomes.

Persistent iASD is common following LAAO, occurring in 43% of patients at early follow-up, with similar rates between 2D and 4D ICE techniques.

K. Culler, Aamir Ahmed, Supreet Singh et al. · 0 citations
Review Open access Jul 2026

AI-Driven Atrial Fibrillation Management: From Signal to Strategy

A comprehensive overview of current AI applications in AF management, including early detection, risk stratification, cardiovascular imaging, clinical decision support, and interventional electrophysiology is provided.

V. Cicek, M. Hayıroğlu, Vanshali Sharma et al. · 0 citations

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