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Native valve infective endocarditis (IE) is rare, with an incidence of 3–7 cases per 100,000 person-years.1,2 Cardiac structural complications from local infection extension include valvular destruction, peri-annular abscess and fistula formation. Left ventricular pseudoaneurysm (LVP) from IE is exceedingly rare, occurring in <1% of cases, and is associated with high morbidity and mortality. Diagnosis is challenging due to nonspecific symptoms […]

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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