ArticleJournal of cardiovascular electrophysiology2022
Artificial intelligence software standardizes electrogram-based ablation outcome for persistent atrial fibrillation.
Article in Journal of cardiovascular electrophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 35 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Tailored vs. Anatomical Ablation Strategy for Persistent Atrial Fibrillation
Preliminary Evaluation of the Artificial Intelligence Software VX1+ for the Detection and Automatic Tagging on 3D Mapping of Spatio-temporal Dispersion Areas During Atrial Fibrillation or Atrial Tachycardia Ablation Procedures.
Clinical and Healthcare Economic OutcoMes From ReAl-worlD Use in Europe of an AI Software During AF Ablation
Long-Term Evaluation of TAILORED Vs Anatomical Ablation Strategy for Persistent Atrial Fibrillation
Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Atrial Fibrillation Termination Success During Ablation: Insights From Pooled Clinical Studies.Reviews in cardiovascular medicine · 2025Pooled it
- Artificial Intelligence in the Heart of Medicine: A Systematic Approach to Transforming Arrhythmia Care with Intelligent Systems.Current cardiology reviews · 2025Pooled it
- Women with persistent atrial fibrillation need more than pulmonary vein isolation: personalised extra-pulmonary vein ablation strategy vs. pulmonary vein isolation alone in the TAILORED-AF trial.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Trial
- Artificial intelligence in cardiology: an evidence map across subspecialties, 2014-26.European heart journal. Digital health · 2026Article
- Artificial Intelligence-guided Extra-pulmonary Vein Repeat Ablation with the Pentaspline Pulsed Field Ablation Catheter.The Journal of innovations in cardiac rhythm management · 2026Article
- Ablation of visually identified spatiotemporal dispersion plus pulmonary vein isolation in persistent atrial fibrillation.European heart journal open · 2026Article
- Application of Artificial Intelligence in the Early Detection and Management of Atrial Fibrillation: State-of-the-art Review.European cardiology · 2026Review
- Atrial fibrillation substrate mapping with emphasis on voltage-based guidance.World journal of cardiology · 2025Review
- Artificial Intelligence in Cardiac Electrophysiology: A Comprehensive Review.Journal of personalized medicine · 2025Review
- Artificial Intelligence in Cardiac Electrophysiology: A Clinically Oriented Review with Engineering Primers.Bioengineering (Basel, Switzerland) · 2025Review
- Spatiotemporal electrical dispersion mapping for substrate characterization and targeted ablation in patients with ventricular fibrillation.HeartRhythm case reports · 2025Article
- Targeting the Substrate: Mechanism-Based Ablation Strategies for Persistent Atrial Fibrillation.Journal of clinical medicine · 2025Review
- State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- Towards advanced regenerative therapeutics to tackle cardio-cerebrovascular diseases.American heart journal plus : cardiology research and practice · 2025Review
- Artificial Intelligence in Atrial Fibrillation: From Early Detection to Precision Therapy.Journal of clinical medicine · 2025Review
- Electrographic Flow Mapping Provides Prognosis for AF Ablation Outcomes Across Two Independent Prospective Patient Cohorts.Journal of clinical medicine · 2025Article
- Artificial intelligence in atrial fibrillation: emerging applications, research directions and ethical considerations.Frontiers in cardiovascular medicine · 2025Review
- Artificial intelligence in chronic disease self-management: current applications and future directions.Frontiers in public health · 2025Review
- 2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation.Journal of arrhythmia · 2024Article
- Ablation Strategies for Persistent Atrial Fibrillation: Beyond the Pulmonary Veins.Journal of clinical medicine · 2024Review
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Authors and funding
24 authors.
Funding
Abstract
introductionMultiple groups have reported on the usefulness of ablating in atrial regions exhibiting abnormal electrograms during atrial fibrillation (AF). Still, previous studies have suggested that ablation outcomes are highly operator- and center-dependent. This study sought to evaluate a novel machine learning software algorithm named VX1 (Volta Medical), trained to adjudicate multipolar electrogram dispersion.
methodsThis study was a prospective, multicentric, nonrandomized study conducted to assess the feasibility of generating VX1 dispersion maps. In 85 patients, 8 centers, and 17 operators, we compared the acute and long-term outcomes after ablation in regions exhibiting dispersion between primary and satellite centers. We also compared outcomes to a control group in which dispersion-guided ablation was performed visually by trained operators.
resultsThe study population included 29% of long-standing persistent AF. AF termination occurred in 92% and 83% of the patients in primary and satellite centers, respectively, p = 0.31. The average rate of freedom from documented AF, with or without antiarrhythmic drugs (AADs), was 86% after a single procedure, and 89% after an average of 1.3 procedures per patient (p = 0.4). The rate of freedom from any documented atrial arrhythmia, with or without AADs, was 54% and 73% after a single or an average of 1.3 procedures per patient, respectively (p < 0.001). No statistically significant differences between outcomes of the primary versus satellite centers were observed for one (p = 0.8) or multiple procedures (p = 0.4), or between outcomes of the entire study population versus the control group (p > 0.2). Interestingly, intraprocedural AF termination and type of recurrent arrhythmia (i.e., AF vs. AT) appear to be predictors of the subsequent clinical course.
conclusionVX1, an expertise-based artificial intelligence software solution, allowed for robust center-to-center standardization of acute and long-term ablation outcomes after electrogram-based ablation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.