2024 European heart rhythm association/heart rhythm society/Asia pacific heart rhythm society/Latin American heart rhythm society expert consensus statement on …

S Tzeis, EP Gerstenfeld, J Kalman, EB Saad… - Europace, 2024‏ - academic.oup.com
In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based
safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007 …

Digital twins in medicine

R Laubenbacher, B Mehrad, I Shmulevich… - Nature Computational …, 2024‏ - nature.com
Medical digital twins, which are potentially vital for personalized medicine, have become a
recent focus in medical research. Here we present an overview of the state of the art in …

The openCARP simulation environment for cardiac electrophysiology

G Plank, A Loewe, A Neic, C Augustin… - Computer methods and …, 2021‏ - Elsevier
Abstract Background and Objective: Cardiac electrophysiology is a medical specialty with a
long and rich tradition of computational modeling. Nevertheless, no community standard for …

Scaling digital twins from the artisanal to the industrial

SA Niederer, MS Sacks, M Girolami… - Nature Computational …, 2021‏ - nature.com
Mathematical modeling and simulation are moving from being powerful development and
analysis tools towards having increased roles in operational monitoring, control and …

Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation

NA Trayanova, A Lyon, J Shade… - Physiological …, 2024‏ - journals.physiology.org
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …

Next-generation tissue-engineered heart valves with repair, remodelling and regeneration capacity

ES Fioretta, SE Motta, V Lintas, S Loerakker… - Nature Reviews …, 2021‏ - nature.com
Valvular heart disease is a major cause of morbidity and mortality worldwide. Surgical valve
repair or replacement has been the standard of care for patients with valvular heart disease …

Artificial intelligence and machine learning in arrhythmias and cardiac electrophysiology

AK Feeny, MK Chung, A Madabhushi… - Circulation …, 2020‏ - ahajournals.org
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of
intense exploration, showing potential to automate human tasks and even perform tasks …

Artificial intelligence in the diagnosis and management of arrhythmias

VD Nagarajan, SL Lee, JL Robertus… - European heart …, 2021‏ - academic.oup.com
The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI)
methodologies for decades. Recent renewed interest in deep learning techniques has …

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 - ahajournals.org
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 …

Machine learning in arrhythmia and electrophysiology

NA Trayanova, DM Popescu, JK Shade - Circulation research, 2021‏ - ahajournals.org
Machine learning (ML), a branch of artificial intelligence, where machines learn from big
data, is at the crest of a technological wave of change swee** society. Cardiovascular …