The Beat Webinar Series Episode 19:From Concepts to Clinic: the 5 Most Gaming-Changing AbstracX at HRX 2025, Recorded LIVE at HRX 2025 in Atlanta (On-Demand)-The 5 Most Game-Changing AbstracX at HRX 2025

Video Transcription

Video Summary

This episode of The Beat webinar series, recorded at the informal HRX 2025 meeting, discusses the top five innovative electrophysiology (EP) abstracts with experts Dr. Jonathan Piccini and Dr. Sunit Mittal. Highlights include:<br /><br />1. An AI app, Empower AI, developed to improve clinical billing accuracy by suggesting appropriate billing codes from de-identified notes. While promising, human coding oversight remains necessary due to variable agreement levels.<br /><br />2. AI prediction of undiagnosed atrial fibrillation (AF) from 12-lead sinus rhythm ECGs in embolic stroke patients, using a convolutional neural network (ResNet). The model’s moderate accuracy may guide monitoring strategies but not diagnosis alone.<br /><br />3. A real-time digital twin of a patient’s left atrium for interactive arrhythmia simulation and ablation planning, enabled by advanced computing power. This could personalize procedures and train clinicians.<br /><br />4. A novel soft robotic catheter made from conformable polymer for rapid, adaptable cardiac chamber mapping integrated with ablation capabilities, advancing beyond rigid basket catheters.<br /><br />5. A metal-free e-textile monitoring platform for long-term AF burden detection, offering continuous ECG-quality data with a clinician portal, presenting advantages over consumer PPG wearables.<br /><br />The webinar underscores the growing collaboration between clinicians, engineers, and industry, highlighting material science and AI innovations shaping the future of EP care and training.

Keywords

Electrophysiology

AI in healthcare

Atrial fibrillation detection

Digital twin simulation

Soft robotic catheter

E-textile monitoring

Clinical billing AI