Back to search

Article

Predicting the <i>When</i> : Multimodal AI for Time-to-Recurrence Analysis After Atrial Fibrillation Ablation

2026-05-15

Abstract excerpt

<h4>Background</h4> Catheter ablation is the most effective rhythm control strategy for atrial fibrillation (AF); however, recurrence remains common. Current post-ablation management follows largely population-level protocols, constrained by the absence of tools that can anticipate not merely whether , but when , an individual patient will experience recurrence. The emergence of multimodal artificial intelligen...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4e06059e-abe8-5e14-a52c-aa8131afb876
DOI
10.64898/2026.05.12.26353055
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Predicting the <i>When</i> : Multimodal AI for Time-to-Recurrence Analysis After Atrial Fibrillation AblationDOI 10.64898/2026.05.12.26353055
Improved prognostic value of recurrence for atrial fibrillation patients after cryoablation by non-linear survival modelsSemantic proximity
Development and validation of postoperative predictive recurrence nomograms in patients with persistent atrial fibrillation: a retrospective cohort studySemantic proximity
DYNAMIC-AF HF Study: An AI-ECG–Based Approach for Dynamic Assessment of Heart Failure Risk and Myocardial Recovery Following Atrial Fibrillation AblationSemantic proximity
Machine Learning-Driven Identification of Distinct Persistent Atrial Fibrillation Phenotypes: A Cluster Analysis of DECAAF II.Semantic proximity
Influencing factors and predictive models of recurrence after cryoballoon ablation for atrial fibrillationSemantic proximity
Machine Learning-Based Identification of High-Risk Patterns in Atrial Fibrillation Ablation OutcomesSemantic proximity
Beyond Conventional Risk Scores: Female Sex as a Residual Predictor of Arrhythmia Recurrence After Cryoballoon Ablation in a Low-Risk Atrial Fibrillation Cohort Without Major ComorbiditiesSemantic proximity
Comprehensive Analysis of Recurrence Factors in Cryoballoon AF Ablation: Integrating Clinical, Biomarkers, and Echocardiographic ParametersSemantic proximity
How often should we monitor for reliable detection of atrial fibrillation recurrence? Efficiency considerations and implications for study design.Semantic proximity
BeatAI: BiomEtrics for Atrial Arrhythmia Tracking Using Artificial IntelligenceSemantic proximity
BeatAI: BiomEtrics for real-time Atrial Arrhythmia tracking using Transformer Artificial Intelligence from wearables after discharge from cardiac surgerySemantic proximity
Post-ablation atrial and ventricular dysfunction on cardiac magnetic resonance and risk of atrial fibrillation recurrence in patients with preserved ejection fractionSemantic proximity
Select a neighboring publication to make it the new centre.