HRX 2024 Top 5 AbstracX-HRX 2024 Top 5 AbstracX

Video Transcription

Video Summary

The conference featured discussions on cutting-edge technology and methods in electrophysiology. Dr. Musad presented on a novel augmented reality (AR) system designed to enhance catheter ablation procedures. The system, Command EP by SentiAR, creates a real-time, 3D hologram of the heart, allowing for precise navigation and interaction during procedures. This technology aims to improve the efficiency and safety of ablations.<br /><br />Dr. Volonka introduced a cloud-enabled AI system for mapping ventricular tachycardia (VT) sources, integrating electrical data from ECGs and anatomical data from CT scans to create detailed 3D models. This approach enhances pre-procedural planning and real-time guidance during VT ablations, potentially reducing overall procedure time.<br /><br />Michael Mossi compared the efficacy of detecting structural heart disease using AI with cardiologists' interpretations of ECGs. The AI model outperformed cardiologists and improved their accuracy when used as a supplementary tool. Future developments aim to integrate this AI into clinical practices for better diagnostics.<br /><br />Dr. Bhatia presented on predicting ventricular arrhythmias using deep learning models on electrograms from subcutaneous ICDs. His study suggests that early detection of arrhythmogenic signatures could enable preemptive treatments, potentially reducing inappropriate shocks and improving patient outcomes.<br /><br />The session highlighted advancements in AR, AI, and deep learning, emphasizing the potential for these technologies to revolutionize electrophysiology by improving diagnostics, procedural efficiency, and patient outcomes.

Keywords

electrophysiology

augmented reality

catheter ablation

ventricular tachycardia

AI system

3D models

deep learning

ECG analysis

patient outcomes