Alphons Vincent introduces the session’s agenda and learning objectives, with focus on how ICM sensitivity and specificity affect clinical outcomes, particularly in stroke and syncope patients, as well as highlighting that not all ICMs perform equally, with sensitivity driving accurate detection and specificity improving workflow by minimising false alerts.

Grant Neitzell provides a comprehensive review of innovation in ICMs, culminating in the LINQ™ series featuring AI-driven enhancements via AccuRhythm™, highlighting the diagnostic accuracy achieved.

Prof Klaus Witte explores ICMs’ role for diagnosing unexplained syncope and cryptogenic stroke, offering superior diagnostic yield compared to conventional monitoring. He asserts that advances such as AccuRhythm™ AI improve specificity by reducing false positives – particularly for AF and pause events – while maintaining high sensitivity, which is critical for capturing clinically relevant arrhythmias.

Dr Luca Santini notes that ICMs are guideline-recommended for evaluating unexplained syncope and bradyarrhythmias, offering superior diagnostic yield in low-frequency or high-risk cases. He concludes that the current application of AI for loop recorders supports reducing false alerts, while maintaining high sensitivity and ensure patients’ safety.

Alphons Vincent leads a panel discussion and audience Q&A, covering themes including clinical interpretation of AI-optimized ICM data, particularly around alert burden, AF thresholds, and false positives; diagnostic accuracy and sensitivity trade-offs, including concerns about missed or over-detected events; and practical integration into workflows, such as decision-making in unexplained syncope or silent AF cases.