Key result
3D computational modeling offers a low-cost tool to predict AF ablation outcomes and identify personalized targets.
Why the study?
AF recurrence rates after catheter ablation remain high and outcomes vary significantly, leaving the optimal ablation strategy unsettled.
Can computational modeling guide and optimize personalized catheter ablation strategies for atrial fibrillation?
Design
Review
Authors
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May guide personalized AF ablation planning; leaves open need for prospective outcome validation before clinical use.
Can computational modeling guide and optimize personalized catheter ablation strategies for atrial fibrillation?
Computational modeling offers a repeatable, low-cost, and risk-free approach to predicting ablation outcomes and identifying personalized targets for atrial fibrillation.
Wu et al. (2021) conducted a review in Atrial fibrillation. Computational modeling simulations of catheter ablation was evaluated. Three-dimensional computational modeling simulations of catheter ablation for atrial fibrillation offer a repeatable, low-cost tool for predicting outcomes and finding personalized ablation targets.
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