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Cardiovascular diseases are the most common cause of mortality and morbidity in adults worldwide.1 Coronary angiography (CAG) is the gold standard method for evaluating atherosclerotic coronary artery disease (CAD).2 It is conventionally performed via the trans-femoral (TF) route. Recently, however, the trans-radial (TR) route has become the preferred way.3 The TR route offers better procedure comfort, shorter hospitalization […]

Sanjiv Narayan, EHRA 2021 – Applications of Computer Modelling and Machine Learning

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Published Online: Jun 15th 2021

We were delighted to talk to Dr Sanjiv Narayan (Stanford University, Stanford, CA, USA) around the applications of computer modelling and machine learning in the field of arrhythmias and cardiac electrophysiology.

Questions

  1. What are artificial intelligence or machine learning and how could they be used in cardiology? (0:25)
  2. Could you give us some examples of where computer modelling and machine learning (ML) have been successfully used in atrial fibrillation? (1:27)
  3. Could you give us some examples of where computer modelling and ML have been successfully used to prevent sudden death? (4:01)

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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