AIMC Topic: Heart Conduction System
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Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization.
Nature cardiovascular research
May 16, 2025
Large-cohort imaging and diagnostic studies often assess cardiac function but overlook underlying biological mechanisms. Cardiac digital twins (CDTs) are personalized physics-constrained and physiology-constrained in silico representations, uncoverin...
Artificial intelligence-adjudicated spatiotemporal dispersion: A patient-unique fingerprint of persistent atrial fibrillation.
Heart rhythm
Jan 11, 2024
BACKGROUND: Spatiotemporal dispersion-guided ablation is a tailored approach for patients in persistent atrial fibrillation (PsAF). The characterization of dispersion extent and distribution and its association with common clinical descriptors of PsA...
Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation.
American journal of physiology. Heart and circulatory physiology
Jan 29, 2021
Although atrial fibrillation (AF) is the most common cardiac arrhythmia, its early identification, diagnosis, and treatment is still challenging. Due to its heterogeneous mechanisms and risk factors, targeting an individualized treatment of AF demand...
Neural Networks, Computer
Artificial Intelligence
Machine Learning
Clinical Decision-Making
Diagnosis, Computer-Assisted
Humans
Heart Rate
Pattern Recognition, Automated
Action Potentials
Therapy, Computer-Assisted
Predictive Value of Tests
Heart Function Tests
Heart Conduction System
Atrial Fibrillation
Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation: A Population-Based Study.
Circulation. Arrhythmia and electrophysiology
Nov 13, 2020
BACKGROUND: An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rhythm has recently been shown to detect concurrent episodic atrial fibrillation (AF). We sought to characterize the value of AI-enabled electrocardiogr...
Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.
Circulation. Arrhythmia and electrophysiology
Jul 6, 2020
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 beyond human capabilities. Literacy and understanding of AI/ML methods are...
Action Potentials
Predictive Value of Tests
Signal Processing, Computer-Assisted
Heart Conduction System
Arrhythmias, Cardiac
Heart Rate
Electrophysiologic Techniques, Cardiac
Prognosis
Reproducibility of Results
Diagnosis, Computer-Assisted
Humans
Deep Learning
Artificial Intelligence
Electrocardiography
Machine Learning
Comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation catheter ablation using robotic magnetic navigation system.
Clinical cardiology
Mar 15, 2019
BACKGROUND: No data exist on comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation (AF) ablation using robotic magnetic navigation system (MNS), respectively.
Pulmonary Veins
Humans
Prospective Studies
Tomography, X-Ray Computed
Female
Follow-Up Studies
Male
Atrial Fibrillation
Risk Factors
Robotics
Echocardiography
Heart Atria
Aged
Equipment Design
Middle Aged
Heart Rate
Young Adult
Surgery, Computer-Assisted
Adolescent
Catheter Ablation
Adult
Heart Conduction System
Treatment Outcome
Recurrence
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling.
Computers in biology and medicine
Oct 18, 2018
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibrillation, are a major global healthcare challenge. Treatment is often th...
Remote vs. conventional navigation for catheter ablation of atrial fibrillation: insights from prospective registry data.
Clinical research in cardiology : official journal of the German Cardiac Society
Aug 29, 2018
BACKGROUND: Robotic (RNS) or magnetic navigation systems (MNS) are available for remotely performed catheter ablation for atrial fibrillation (AF).
Predictors of atrial fibrillation early recurrence following cryoballoon ablation of pulmonary veins using statistical assessment and machine learning algorithms.
Heart and vessels
Aug 23, 2018
Inflammation, oxidative stress, myocardial injury biomarkers and clinical parameters (longer AF duration, left atrial enlargement, the metabolic syndrome) are factors commonly related to AF recurrence. This study aims to assess the predictive value o...
Safety and Feasibility of a Novel Active Fixation Temporary Pacing Lead.
The Journal of invasive cardiology
Feb 15, 2018
OBJECTIVE: This first-in-human study evaluated the safety and technical feasibility of the Tempo temporary cardiac pacing lead (BioTrace Medical), which includes a novel fixation mechanism and soft tip.
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