Feasibility of Three-Dimensional Artificial Intelligence Algorithm Integration with Intracardiac Echocardiography for Left Atrial Imaging During Atrial Fibrillation Catheter Ablation.
Luigi Di BiaseFengwei ZouAung N LinVito GrupposoJacopo MarazzatoNicola TarantinoDomenico Giovanni Della RoccaSanghamitra MohantySanghamitra MohantyMajd Al Deen AlhuarratGuy HaimanDavid HaimovichRichard A MatthewJaclyn AlcazarGraca CostaRoy UrmanXiao-Dong ZhangPublished in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2023)
DL algorithm integration with ICE demonstrated considerable accuracy compared to CT and qualitative physician assessment. The feasibility of ICE with this algorithm can potentially further streamline AF ablation workflow.
Keyphrases
- catheter ablation
- left atrial
- atrial fibrillation
- artificial intelligence
- machine learning
- deep learning
- left atrial appendage
- big data
- oral anticoagulants
- computed tomography
- left ventricular
- direct oral anticoagulants
- emergency department
- heart failure
- primary care
- percutaneous coronary intervention
- mitral valve
- pulmonary hypertension
- contrast enhanced
- magnetic resonance imaging
- high resolution
- image quality
- neural network
- electronic health record
- acute coronary syndrome
- dual energy
- systematic review
- positron emission tomography