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18m 2sPart 1 | Session 2 The Unseen Burden of Missed Arrhythmias – Why Current Monitoring Falls Short
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13m 32sPart 1 | Session 3 The Evidence for Extended Monitoring – How Long is Enough?
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11m 23sPart 1 | Session 4 Real-World Insights – The European Experience with Zio
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16m 17sPart 1 | Session 5 Q&A and Closing Summary
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9m 1sPart 2 | Session 1 Welcome and Introduction
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16m 58sPart 2 | Session 2 Then, Now, Next: How AI Is Reshaping Cardiac Monitoring Practices
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16m 51sPart 2 | Session 3 Turning Data into Decisions: Real Cases, Real Outcomes
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8m 44sPart 3 | Session 1 Welcome and webinar series overview
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12m 34sPart 3 | Session 2 Case 1: Post PVI monitoring
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18m 4sPart 3 | Session 3 Case 2: Post stroke management and detection
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10m 39sPart 3 | Session 4 Device selection for ambulatory cardiac monitoring: clinical challenges
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17m 12sPart 3 | Session 5 Key clinical challenges, Q&A and closing summary
In this opening session of Bridging the Gap in Arrhythmia Detection: Why 14 Days Matter, Prof Dominik Linz initially introduces the session and all faculty, as well as covering key disclosures.
This comprehensive three-part webinar series is dedicated to the evolving landscape of ambulatory cardiac monitoring. Moderated by Prof Dominik Linz, this series brings together a global faculty of experts to explore how the shift from traditional methods to extended 14-day AI-enhanced monitoring is redefining diagnostic yield and patient care.
As clinical workflows face increasing pressure, this series provides a deep dive into the data, technology, and practical strategies necessary to improve outcomes in arrhythmia management.
Across these three sessions, viewers will explore:
- The Clinical Case for 14 Days: An analysis of why standard monitoring often falls short and how extended 14-day monitoring, supported by the CAMELOT study, significantly improves detection rates and reduces hospitalisations.
- The AI Revolution: A look at the "Smarter Signals" transforming the industry, examining how artificial intelligence is streamlining data analysis for cardiac physiologists and improving diagnostic precision.
- Practical Implementation: Real-world insights into managing post-PVI AF and stroke detection, featuring evidence from key trials such as AMALFI, CIRCA-DOSE, and FIND-AF.
- Operational Efficiency: Expert discussion on overcoming implementation challenges, navigating reimbursement, and enhancing patient adherence in a modern clinical setting.
View the full series on-demand to gain a comprehensive understanding of how integrated AI and extended monitoring are ushering in a new era of smarter, more effective arrhythmia detection.
Learning Objectives
- Critically Assess Monitoring Durations: Evaluate the limitations of standard ambulatory cardiac monitoring (ACM) and justify the clinical rationale for extending monitoring to 14 days to improve arrhythmia detection and reduce hospitalisations.
- Analyse the Impact of AI in Diagnostics: Gain a comprehensive understanding of how artificial intelligence is transforming cardiac monitoring, from signal processing to enhancing the diagnostic yield for cardiac physiologists and clinicians.
- Apply Evidence-Based Data to Specialised Care: Examine key findings from landmark studies including CAMELOT, CIRCA-DOSE, FIND-AF, and AMALFI and apply this evidence to the management of specific patient populations, e.g. post-PVI and post-stroke care.
- Optimise Clinical Workflows and Implementation: Identify practical strategies to overcome barriers to adoption, improve patient adherence, and successfully integrate AI-enhanced 14-day monitoring into routine clinical practice and European healthcare work
Target Audience
- Cardiologists
- Electrophysiologists
- Stroke Neurologists
- Cardiac Physiologists
More from this programme
Part 1
Webinar 1: Bridging the Gap in Arrhythmia Detection: Why 14 Days Matter
This expert-led webinar, moderated by Prof Dominik Linz, explored the limitations of current approaches and the proven benefits of extending monitoring to 14 days.
Prof Jay Wright highlighted the shortcomings of standard monitoring and their clinical consequences, while Dr Suneet Mittal presented findings from the CAMELOT study, demonstrating how 14-day monitoring significantly improved arrhythmia detection, reduced hospitalisations, and enhanced clinical decision-making. Prof Patrick Badertscher provided real-world insights from European clinical practice, sharing data on how Zio’s extended monitoring improved workflow, efficiency, and patient outcomes.
The session concluded with a live Q&A, addressing key topics such as reimbursement, implementation challenges, and patient adherence. Attendees discovered why 14-day monitoring was transforming arrhythmia detection and patient care.
Part 2
Webinar 2: Smarter Signals: How AI Is Transforming Arrhythmia Detection
Webinar 2 delves 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.
Part 3
Webinar 3: Optimising Ambulatory Cardiac Monitoring in Practice to Improve Diagnostic Yield and Outcomes
This webinar highlights the real-world value of extended 14-day patch monitoring through two case studies in post-PVI AF management and stroke detection. Experts discussed evidence showing how prolonged monitoring improves arrhythmia detection and treatment, referencing key studies such as CIRCA-DOSE and FIND-AF. The webinar also explored practical challenges of implementing 14-day monitoring and featured insights from the AMALFI trial.
This session included Q&A segments with the audience and expert discussion, offering even deeper insights to help you gain a comprehensive understanding of how 14-day monitoring can be a powerful tool for patient care and practice growth.
Watch this expert-led webinar now, moderated by Prof Dominik Linz, with a faculty panel featuring Dr James Rosengarten, Prof Patrick Badertscher, and Dr Mintu Turakhia.
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.