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16m 51s
In this opening session of Smarter Signals: How AI Is Transforming Arrhythmia Detection, Prof Linz initially introduces the session, a poll and all faculty, as well as covering key disclosures.
Explore the on-demand version of this expert-led webinar, moderated by Prof Dominik Linz, delving into the revolutionary impact of artificial intelligence on cardiac monitoring and arrhythmia detection.
Dr Mintu Turakhia kicked off the session by exploring the evolution of cardiac monitoring and the pivotal role AI is now playing in reshaping practices. Following this, Dr Martin Manninger presented compelling real-world case studies, showcasing how AI-enhanced tools are directly improving patient care across diverse clinical scenarios. The webinar culminated in a fireside chat with Dr Nolan Stain, who discussed the significant clinical and operational implications of AI adoption for cardiac physiologists, patients and overall healthcare workflows.
This session also included moderator-led audience Q&A and expert discussion throughout, offering even deeper insights. Watch now to gain a comprehensive understanding of how AI is ushering in a new era of smarter, more effective arrhythmia detection.
Learning Objectives
- Gain a comprehensive understanding of the current landscape of cardiac ambulatory monitoring and the evolving role of artificial intelligence
- Analyse real-world case studies demonstrating how AI-enhanced tools impact patient care across a range of clinical scenarios
- Evaluate the clinical and operational implications of AI adoption for cardiac physiologists, patients and healthcare workflows through expert discussion and audience engagement
Target Audience
- Cardiologists
- Electrophysiologists
- Stroke Neurologists
- Cardiac Physiologists
More from this programme
Part 1
Welcome and Introduction
In this opening session of Smarter Signals: How AI Is Transforming Arrhythmia Detection, Prof Linz initially introduces the session, a poll and all faculty, as well as covering key disclosures.
| 1 session | |
| Welcome and Introduction | Watch now |
Part 2
Then, Now, Next: How AI Is Reshaping Cardiac Monitoring Practices
In the second part of this video series, Dr Turakhia dives into the limitations of traditional monitoring systems, shedding light on their clinical implications. Through a detailed analysis, Dr Turakhia outlines the key areas where conventional monitoring falls short, emphasising how AI is reshaping cardiac monitoring practices.
Part 3
Turning Data into Decisions: Real Cases, Real Outcomes
In the third part of this video series, Dr Manninger dives into how to transform data into actionable clinical decisions, shedding light on the evolving role of novel wearable rhythm devices. Through illustrative patient cases, Dr Manninger outlines the key advantages of extended monitoring with AI-driven analysis, emphasising its potential to personalise arrhythmia diagnosis and treatment.
Part 4
Integrating AI Into Cardiology: Impacts on Clinicians, Patients and Workflow - Fireside Chat with Dr Stain
In the final part of this video series, Dr Stain dives into the practical implementation of new cardiac monitoring technologies, shedding light on the drivers behind their adoption and the pathways established for their use. During this fireside chat, Dr Stain outlines the challenges and successes of integrating AI-powered monitoring, emphasising its role in augmenting, rather than replacing, existing services and the future potential for disease prediction and evolving staff roles.
Faculty Biographies
Dominik Linz
Cardiologist and Associate Professor
Associate Professor Dominik Linz is a distinguished cardiologist and clinician-scientist at Maastricht University Medical Center+ in the Netherlands, with a focus on cardiac arrhythmia research. He holds visiting professorships at the University of Copenhagen and the University of Adelaide, where he previously initiated a translational research program on atrial fibrillation and sleep-disordered breathing. Professor Linz is a prolific author with over 200 peer-reviewed publications, significantly contributing to the understanding and treatment of atrial arrhythmias.