Event category: Concurrent Session

Events

September 05, 2025

2025-09-05

10:30 AM (EDT) - 11:15 AM (EDT)

Mikhael El-Chami

This session will detail the possibilities, potential technologies, and likely pathways for permanent pacing in the future. Specifically, this session will explore next generation pacing technologies, including but not limited to advances in leadless pacing, micro-devices, new epicardial pacing interventions, pacing for HFpE, and physiologic atrial pacing.

Mikhael El-Chami

Electrophysiologist | Professor of Medicine

Emory University

2025-09-05

09:45 AM (EDT) - 10:30 AM (EDT)

The autonomic nervous system is known to play a critical role in the initiation and/or triggering of many arrhythmias, including atrial fibrillation. Autonomic therapies have moved well-beyond isolated ablation of cardiac ganglionated plexi. This session will review the innovations that have expanded autonomic therapies, including tragus stimulation, renal sympathetic denervation, and future innovations for additional interventions.

September 04, 2025

2025-09-04

04:30 PM (EDT) - 05:15 PM (EDT)

There is an unprecedented surge in innovation surrounding intracardiac ultrasound and its integration into electrophysiologic care. Future iterations of 4-D intracardiac ultrasound, next-generation integration into mapping systems, and the use of ultrasound for therapeutic purposes all have the potential to significantly change practice. This session will review these key innovations and how they may improve care in the EP laboratory.

2025-09-04

03:45 PM (EDT) - 04:30 PM (EDT)

Natalia Trayanova

Digital twins offer the promise to develop, test, and validate potential personalized solutions for heart rhythm care that are unique to a given individual and their myocardial substrate. Early studies have been promising. However, there are significant challenges from several different areas including operational, computational, and efficacy. This session will engage in discussing whether digital twins will become a foundational core of EP care or remain a fantasy.

Natalia Trayanova, PhD, FHRS

Professor | Director for AI Research

Johns Hopkins University

September 05, 2025

2025-09-05

02:45 PM (EDT) - 03:30 PM (EDT)

This session will highlight the challenges, current best practices, and how innovation will impact regulatory science, with a focus on first-in-human device trials. The session will highlight shared and unique challenges in different regions of the world, including Asia, Europe, and North America. Attendees will be armed with a better understanding of the key barriers and facilitators for successful first-in-human trials.

2025-09-05

12:30 PM (EDT) - 01:15 PM (EDT)

Jeffrey Winterfield

Innovations in imaging—ranging from real-time 3D/4D echo, advanced CT mapping to cardiac MRI—are reshaping electrophysiology. This session explores how novel visualization tools and AI-powered image processing can guide complex procedures while improving patient safety and outcomes. 

September 06, 2025

2025-09-06

10:45 AM (EDT) - 11:30 AM (EDT)

We will discuss key issues surrounding interoperability and integration, exploring innovative solutions for seamless data flow across multiple monitoring systems. Additionally, we will evaluate the role of AI to support clinical decision-making, enhancing both patient outcomes and operational efficiency. Join us to explore the future of remote monitoring and data management, and how innovations in this field are shaping the future of healthcare

September 05, 2025

2025-09-05

04:45 PM (EDT) - 05:30 PM (EDT)

This session will explore cutting-edge approaches to patient education, focusing on the integration of digital tools and interactive platforms. Participants will gain insights into the latest best practices for educating patients and healthcare professionals, enhancing engagement, understanding, and overall patient outcomes.

2025-09-05

03:45 PM (EDT) - 04:30 PM (EDT)

Marat Fudim

As healthcare shifts toward proactive interventions, AI holds the promise of detecting heart failure before overt symptoms appear. In this session, experts will discuss how machine learning and big-data analytics can arm clinicians with real-time insights to intervene at the earliest sign of HF decompensation. Attendees will gain an understanding of predictive models, novel monitoring tools, and the challenges involved in implementing such technologies on a broad scale.

Marat Fudim

Associate Professor & Heart Failure Cardiologist

Duke University Medical Center

2025-09-05

09:45 AM (EDT) - 10:30 AM (EDT)

With gene therapy advancing rapidly, how do digital innovations accelerate its impact on cardiovascular disease? This session explores the evolution of gene therapy trials, cutting-edge breakthroughs, and the role of AI, big data, and digital platforms in research, patient monitoring, and treatment optimization. Hear from experts and patient advocates as we examine whether technology is the key to making gene therapy more accessible, efficient, and transformative. Are we on the verge of a revolution, or just scratching the surface?