AI and PFA: A Complementary Approach to Arrhythmia Treatment-AI and PFA: A Complementary Approach to Arrhythmia Treatment

Video Transcription

Video Summary

The session led by Dr. Devi Nair from Jonesboro, Arkansas, focused on the potential of AI and PFA in treating arrhythmias, including atrial fibrillation and ventricular arrhythmias. The expert panel, including Anisha Meen, Ben D'Souza, and Gary Tomasani, discussed how AI, through tools like VMAP, can improve efficiency and efficacy by helping understand arrhythmia mechanisms and tailor treatment better. <br /><br />VMAP, a non-invasive simulation-based algorithm, was highlighted for its ability to analyze ECGs quickly and identify arrhythmia sources, which aids in providing precise treatment without unnecessary ablation. An update was given on research progress, such as the Advantage Phase 1 data, revealing that while thermal ablation technologies are more durable and efficient, their efficacy is still limited. Therefore, there is a need to refine strategies for persistent and complex cases.<br /><br />Gary Tomasani discussed studies that focus on personalizing ablation and improving AF treatment outcomes. Ben D'Souza highlighted the importance of using AI tools in ventricular tachycardia ablation cases, demonstrating how VMAP can efficiently target arrhythmia hotspots, reducing procedural time and improving patient safety. The session concluded by emphasizing the potential of AI to revolutionize arrhythmia treatment, urging further clinical trials and studies to substantiate these methods.

Keywords

AI

PFA

arrhythmias

VMAP

atrial fibrillation

ventricular arrhythmias

ablation

ECG analysis