Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.
Sutton R FoxAvinash ToomuKelly GuJessica KangKevin SungFrederick T HanKurt S HoffmayerJonathan C HsuFarshad RaissiGregory K FeldAndrew D McCullochGordon HoDavid E KrummenPublished in: Journal of cardiovascular electrophysiology (2024)
Use of forward-solution AI ECG mapping is associated with reductions in time to first ablation, procedure duration, and fluoroscopy without an adverse impact on procedure outcomes or complications.
Keyphrases
- artificial intelligence
- catheter ablation
- machine learning
- big data
- minimally invasive
- deep learning
- high resolution
- atrial fibrillation
- high density
- radiofrequency ablation
- risk factors
- type diabetes
- heart rate
- emergency department
- metabolic syndrome
- mass spectrometry
- adipose tissue
- insulin resistance
- skeletal muscle
- drug induced
- glycemic control