Computational models of atrial fibrillation: Achievements, challenges, and perspectives for improving clinical care

J Heijman, H Sutanto, HJGM Crijns… - Cardiovascular …, 2021 - academic.oup.com
Despite significant advances in its detection, understanding and management, atrial
fibrillation (AF) remains a highly prevalent cardiac arrhythmia with a major impact on …

Computational modeling of electrophysiology and pharmacotherapy of atrial fibrillation: recent advances and future challenges

M Vagos, IGM van Herck, J Sundnes… - Frontiers in …, 2018 - frontiersin.org
The pathophysiology of atrial fibrillation (AF) is broad, with components related to the unique
and diverse cellular electrophysiology of atrial myocytes, structural complexity, and …

Mathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and management

NA Trayanova - Circulation research, 2014 - Am Heart Assoc
Atrial fibrillation (AF) is the most common sustained arrhythmia in humans. The mechanisms
that govern AF initiation and persistence are highly complex, of dynamic nature, and involve …

Epidemiology of atrial fibrillation in the 21st century: novel methods and new insights

J Kornej, CS Börschel, EJ Benjamin… - Circulation …, 2020 - Am Heart Assoc
Accompanying the aging of populations worldwide, and increased survival with chronic
diseases, the incidence and prevalence of atrial fibrillation (AF) are rising, justifying the term …

Predicting atrial fibrillation recurrence by combining population data and virtual cohorts of patient-specific left atrial models

CH Roney, I Sim, J Yu, M Beach, A Mehta… - Circulation …, 2022 - Am Heart Assoc
Background: Current ablation therapy for atrial fibrillation is suboptimal, and long-term
response is challenging to predict. Clinical trials identify bedside properties that provide only …

Dynamics of atrial fibrillation mechanisms and comorbidities

J Heijman, D Linz, U Schotten - Annual review of physiology, 2021 - annualreviews.org
Atrial fibrillation (AF) contributes to morbidity and mortality of millions of individuals. Its
molecular, cellular, neurohumoral, and hemodynamic pathophysiological mechanisms are …

In Silico Screening of the Key Cellular Remodeling Targets in Chronic Atrial Fibrillation

JT Koivumäki, G Seemann… - PLoS computational …, 2014 - journals.plos.org
Chronic atrial fibrillation (AF) is a complex disease with underlying changes in
electrophysiology, calcium signaling and the structure of atrial myocytes. How these …

Deja vu in the theories of atrial fibrillation dynamics

J Jalife - Cardiovascular research, 2011 - academic.oup.com
This brief review looks back to the major theoretical, experimental, and clinical work on the
dynamics and mechanisms of atrial fibrillation (AF). Its goal is to highlight the most important …

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management

I Olier, S Ortega-Martorell, M Pieroni… - Cardiovascular …, 2021 - academic.oup.com
There has been an exponential growth of artificial intelligence (AI) and machine learning
(ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has …

Personalized management of atrial fibrillation: Proceedings from the fourth Atrial Fibrillation competence NETwork/European Heart Rhythm Association consensus …

P Kirchhof, G Breithardt, E Aliot, S Al Khatib… - Europace, 2013 - academic.oup.com
The management of atrial fibrillation (AF) has seen marked changes in past years, with the
introduction of new oral anticoagulants, new antiarrhythmic drugs, and the emergence of …