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Cardiac Diagnostics in the Age of Artificial Intelligence
Author(s): Klaus Witte, Luca Santini, Alphons Vincent ,et al Start date: May 06, 2025
Join Dr Luca Santini (Rome, IT) and Prof Klaus Witte (Leeds, UK) for an engaging educational webinar exploring the critical importance of sensitivity and specificity in Insertable Cardiac Monitors (ICMs).Discover how reducing false positives impacts sensitivity, why balancing these factors is essential, and what real-world data reveals about achieving clinical accuracy. The session will also… View more

Electrophysiology & Arrhythmia
Research Area(s) / Expertise: Job title: Faculty (Artificial Intelligence in Medicine)
Portrait photo of Dr Ivan Olier
Job title: Reader in Artificial Intelligence and Data Science; Head of Data Science Research Centre
I am the Head of the Data Science Research Centre and a Reader in Artificial Intelligence and Data Science. My research interests lie in algorithms for Artificial Intelligence, with a specific focus on Causal AI, Digital Twins, and the modelling of large-scale, highly structured, and/or relational data (including multivariate time series, graphs, networks, etc.). My research finds its… View more
Abhinav Kandala
Abhinav is a 4th Year Medical Student at University College London (UCL), working closely with both University College Hospital and St. Bartholomew’s Hospital, under Dr Arjun Ghosh and Dr Aruni Ghose. His research mainly focuses on real-world evidence of the novel speciality Cardio-Oncology with a special interest in emerging therapies, predictive models and artificial intelligence. View more
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Research Area(s) / Expertise: Job title: Professor
EHRA 2026: Prediction, Risk Modulation and AI in Arrhythmia Management
Author(s): Jason G Andrade Added: 4 days ago
EHRA 2026 — Dr Jason Andrade (University of British Columbia, CA) joins us to explore how artificial intelligence is transforming risk prediction and modulation in arrhythmia management, and what this means for electrophysiology practice today and in the years ahead.From the limitations of conventional risk stratification tools to the emerging role of AI-driven models in clinical decision-making,… View more

Digital Health

Electrophysiology & Arrhythmia