Key result
AI-based ECG and CT surgical ablation planning linked to lower ventricular arrhythmia burden versus baseline.
Why the study?
Surgical arrhythmia ablation is challenging due to arrhythmia induction and mapping limitations in the operating room.
Does a preoperative workflow involving AI ECG and CT mapping improve outcomes in patients undergoing surgical ablation of ventricular arrhythmias?
Comparison
Preoperative AI ECG and CT mapping workflow for surgical ablation planning
Design
Two-institution feasibility study
Follow-up
1-year follow-up
Authors
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May support feasibility of AI mapping but should not change practice; leaves open need for randomized trials in surgical ventricular arrhythmia ablation.
Observational
Yes
Does a preoperative workflow involving AI ECG and CT mapping improve outcomes in patients undergoing surgical ablation of ventricular arrhythmias?
p-value: p=.012
AI-based ECG and CT mapping is feasible for guiding surgical ablation of ventricular arrhythmias and significantly reduces arrhythmia burden.
Sung et al. (2026) conducted an observational in Ventricular arrhythmias (ventricular tachycardia and premature ventricular complexes). Preoperative workflow involving AI electrocardiographic and computed tomography analysis vs. Baseline and prior published studies was evaluated on Composite of death from any cause, VT storm, sustained VT, appropriate implantable cardioverter-defibrillator shock, and PVC burden reduction less than 50% at 1-year follow-up (p=.012). A novel preoperative workflow using AI-based ECG and CT analysis to guide surgical ablation of ventricular arrhythmias yielded significant reductions in arrhythmia burden compared with baseline (P=0.012).
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