In this insightful episode of Rhythm Interventions Unplugged, host Dr Devi Nair (St. Bernard's Medical Center, US) welcomes two leading experts in the field: Dr Sanjiv Narayan (Stanford Medicine, US) and Dr Tina Baykaner (Stanford Medicine, US). Together, they delve into the rapidly evolving landscape of artificial intelligence (AI) and machine learning in arrhythmia management.
From the crucial first step of screening for arrhythmias like atrial fibrillation (AF), Dr Baykaner shares how AI can analyze standard ECGs to identify individuals at future risk, even before a diagnosis. The discussion then dives into AI's potential in predicting sudden cardiac death and leveraging data from wearable devices for early warning signs.
Learn how AI is paving the way for personalized arrhythmia management, from pre-ablation planning to post-ablation follow-up and risk assessment. Can AI-driven models better predict AF recurrence after ablation than traditional scores?
Tune in to hear from Drs Narayan and Baykaner about the practical applications of AI in EP, important considerations like data privacy, and where to stay updated on the latest innovations.
In this month's episode of Rhythm Interventions Unplugged, host Dr Devi Nair is joined by leading electrophysiologists, Dr Andrea Natale and Dr Bradley Knight to delve into this critical discussion.
Join host, Dr Devi Nair as she engages with renowned clinical researchers, Dr Boris Schmidt and Dr Julian Chun for an insightful discussion on the latest data in PFA.
In this month's episode of Rhythm Interventions Unplugged, host Dr Devi Nair is joined by leading electrophysiologists, Dr Andrea Natale and Dr Bradley Knight to delve into this critical discussion.