Sanjiv Narayan, EHRA 2021 – AI and ML Models in Arrhythmias and Cardiac Electrophysiology
It was a pleasure to talk to Dr Sanjiv Narayan (Stanford University, Stanford, CA, USA) around the implementation of artificial intelligence and machine learning models in the field of arrhythmias and cardiac electrophysiology.
- What are the major challenges in implementing artificial intelligence (AI) and machine learning (ML) models in the field of arrhythmias and cardiac electrophysiology? (0:25)
- How has computer modelling helped us understand the mechanisms underlying cardiac arrhythmias? (3:23)
- What are the potential applications of AI and ML in the future of arrhythmia diagnosis, prognosis and management? (4:46)
Speaker disclosures: Dr. Narayan reports consulting from Beyond.ai Inc, TDK Inc., Up to Date, Abbott Laboratories, and American College of Cardiology Foundation; Intellectual Property Rights from University of California Regents and Stanford University
Interview and filming supported by Touch Medical Media.
Filmed during a remote video call with Dr Sanjiv Narayan as a highlight of EHRA 2021, April 2021.
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