EACVI Research Debates - Episode 1

  • Hosts: Marta Cvijic & Sara Moscatelli.
  • Authors: Federico Fortuni & Evangelos Oikonomou.

 

Dr. Sara Moscatelli and Dr. Marta Cvijic discuss advanced echocardiography and artificial intelligence in aortic stenosis with the authors of two recent publications:

  • Dr. Federico Fortuni: Prognostic value of left ventricular myocardial work indices in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement (DOI: 10.1093/ehjci/jead157).
  • Dr. Evangelos Oikonomou: Severe aortic stenosis detection by deep learning applied to echocardiography (DOI: 10.1093/eurheartj/ehad456).

Discover tips & tricks of their research, also focusing on:

  1. Do we need to pay attention to any details when assessing myocardial work?
  2. Does the image quality affect the artificial intelligence performance in detecting severe aortic stenosis?
    Can you suggest any cut-off values for the myocardial work index that can identify patients with severe AS who have a worse clinical outcome?
  3. Mixed or combined valvular heart diseases can influence on the artificial intelligence accuracy in detecting severe aortic stenosis?
  4. Are myocardial work and artificial intelligence useful in low-flow low-gradient aortic stenosis?
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