Trending Topic

3 mins

Trending Topic

Developed by Touch
Mark CompleteCompleted
BookmarkBookmarked

It is with pride and gratitude that we reflect on the remarkable 10-year journey of European Journal of Arrhythmia & Electrophysiology. With the vital contributions of all of our esteemed authors, reviewers and editorial board members, the journal has served as a platform for groundbreaking research, clinical insights and news that have helped shape the […]

Sanjiv Narayan, EHRA 2021 – AI and ML Models in Arrhythmias and Cardiac Electrophysiology

Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Published Online: Jun 15th 2021

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.

Questions

  1. 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)
  2. How has computer modelling helped us understand the mechanisms underlying cardiac arrhythmias? (3:23)
  3. 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.

Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Close Popup