First clinical data on artificial intelligence-guided catheter ablation in long-standing persistent atrial fibrillation.
Fabian BahlkeFlorian EnglertMiruna-Andreea PopaFelix BourierTilko ReentsCarsten LennerzHannah KraftAlex Tunsch MartinezMarc KottmaierJan SyväriMadeleine TydecksMarta TelishevskaSarah LengauerGabriele HesslingIsabel DeisenhoferNico ErhardPublished in: Journal of cardiovascular electrophysiology (2024)
DISPERS-guided ablation using machine learning software (the Volta VX1 software) in addition to PVI in long-standing persistent AF ablation resulted in high long-term success rates regarding AF and AT elimination. Most arrhythmia recurrences were reentrant AT. After a total of 1.46 ± 0.68 procedures, freedom from AF/AT was 82%. Despite prolonged procedure times complication rates were low. Randomized studies are necessary to evaluate long-term efficacy of dispersion-guided ablation using AI.
Keyphrases
- catheter ablation
- atrial fibrillation
- artificial intelligence
- left atrial
- big data
- left atrial appendage
- oral anticoagulants
- machine learning
- direct oral anticoagulants
- deep learning
- heart failure
- percutaneous coronary intervention
- data analysis
- open label
- double blind
- electronic health record
- placebo controlled
- phase iii
- venous thromboembolism