Key result
AI-assisted ECG analysis achieves 100% agreement with successful VT ablation sites in hemodynamically unstable patients.
Why the study?
Activation mapping of scar-mediated VT is often limited by hemodynamic instability, while substrate mapping and 12-lead ECG localization are challenged by scar complexity.
Does AI-assisted 12-lead ECG analysis accurately localize VT exit sites to guide successful catheter ablation in patients with hemodynamically unstable scar-mediated VT?
Population
Four patients undergoing catheter ablation of hemodynamically unstable scar-mediated VT
Comparison
AI-assisted ECG analysis of VT exit site compared with sites of successful ablation based on substrate mapping
Design
Single-center proof-of-concept study
Follow-up
6 months
Authors
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May aid unstable VT ablation; leaves open need for prospective validation before adoption.
Does AI-assisted 12-lead ECG analysis accurately localize VT exit sites to guide successful catheter ablation in patients with hemodynamically unstable scar-mediated VT?
A novel workflow using AI-assisted 12-lead ECG analysis accurately localizes VT exit sites, enabling successful ablation of hemodynamically unstable VT in sinus rhythm.
Haddadin et al. (2025) studied this question. AI-assisted ECG analysis of VT exit site achieved 100% agreement with successful ablation sites, resulting in non-induction of all VTs in a hemodynamically unstable cohort.
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