EP on EP Episode 105: Use of AI to Predict AF Ablation Outcomes-P on EP Episode 105: Use of AI to Predict AF Ablation Outcomes

P on EP Episode 105: Use of AI to Predict AF Ablation Outcomes

Video Transcription

Video Summary

In this video segment of EPNIP, Dr. Eric Vrstavsky interviews Dr. Tina Bachner, Assistant Professor of Medicine at Stanford University, about her work on AI and atrial fibrillation. They discuss using machine learning to analyze complex signals and images in electrophysiology, aiming to predict patient outcomes for ablation. Dr. Bachner explains their approach to using CT scans and patient data to predict ablation success, regardless of AFib phenotype. They touch on integrating intracardiac electrograms into predictive models and the potential for AI to impact ablation strategy in real-time. The ultimate goal is to make AI applicable globally and to improve outcomes in ablation procedures within the next five years.

Keywords

EPNIP

Dr. Eric Vrstavsky

Dr. Tina Bachner

atrial fibrillation