AI-Driven Innovation in AF Ablation Procedures-AI-Driven Innovation in AF Ablation Procedures

Video Transcription

Video Summary

The presentation at the Volta Medical Rhythm Theater focused on Volta Medical's use of machine learning for AF ablation procedures. The session highlighted the RESTART trial, machine learning technology approved by the FDA, and its application within EPs, specifically targeting atrial fibrillation using the AF Explorer technology. The concept is based on spatial temporal dispersion, identifying which areas to ablate by using multi-electrode catheters. The discussion included expert opinions on the use of AI, covering machine learning fundamentals, data input methods, and outcome predictions aimed at improving AF ablation procedures. Specifics of AI application include engaging with a neural network model trained with over 500,000 manually annotated examples. The system’s performance shows a high accuracy level. Clinical discussions stressed the need for this technology amidst increasing ablation data and to provide targeted, rather than blanket, ablation treatments to avoid procedural repetition. Additionally, the restart trial results and the practical uses of incorporating pulse field ablation, alongside AI-guided mapping, revealed promising success for patients undergoing redo procedures and long-standing persistent AF cases. The sessions concluded with a Q&A addressing various complexities in AF mapping and mechanistic ablation strategies.

Keywords

Volta Medical

machine learning

AF ablation

RESTART trial

FDA approved

atrial fibrillation

spatial temporal dispersion

neural network

pulse field ablation