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Author(s): Jason G Andrade Added: 5 days ago
EHRA 2026 — Dr Jason Andrade (University of British Columbia, CA) joins us to explore how artificial intelligence is transforming risk prediction and modulation in arrhythmia management, and what this means for electrophysiology practice today and in the years ahead.From the limitations of conventional risk stratification tools to the emerging role of AI-driven models in clinical decision-making,… View more
Added: 6 months ago Source:  Arrhythmia Academy
Atrial fibrillation (AF) has a complex genetic architecture, and a new study suggests that integrating information on common, rare, and somatic genetic variants can significantly improve risk prediction. Researchers developed an integrated genomic model (IGM-AF) that, when combined with clinical factors, enhanced the stratification of individuals at risk for incident AF.¹This cohort study… View more
Author(s): Francesco Santoro Added: 1 week ago
EHRA Congress 2026 — Dr Francesco Santoro (University of Foggia, Foggia, IT) joins us to explore how electrophysiologists can approach risk assessment and decision-making when considering catheter ablation in high-risk ventricular tachycardia patients — a population where the potential benefits of ablation must be carefully weighed against procedural complexity and patient frailty.Interview… View more
Added: 6 months ago Source:  Radcliffe Cardiology
AUTHOR: Jordan RanceRisk stratification for primary prevention implantable cardioverter-defibrillator (ICD) placement in patients with cardiac sarcoidosis remains a clinical challenge, partly due to inconsistencies in diagnostic criteria and the variable course of the disease. A new study published in the European Heart Journal suggests that cardiovascular magnetic resonance (CMR) phenotyping has… View more
Added: 7 months ago Source:  Arrhythmia Academy
Complete heart block (CHB) is a life-threatening arrhythmia, yet current electrocardiography (ECG)-based methods for risk stratification have limited predictive power. A new study has detailed the development and validation of a novel artificial intelligence-enhanced ECG (AI-ECG) model that can accurately predict the risk of incident CHB, significantly outperforming traditional risk markers.¹The… View more
Author(s): Marat Fudim , David Duncker Added: 2 months ago
In this episode of Arrhythmia Academy's Journal Club, Dr David Duncker (Hannover Heart Rhythm Center, DE) is joined by Dr Marat Fudim (Duke University, US) to examine the critical early-risk period following heart failure diagnosis and the emerging role of wearable cardioverter defibrillators in sudden cardiac death prevention.The discussion centres on findings from the SCD-PROTECT study, a 19… View more