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:
- Do we need to pay attention to any details when assessing myocardial work?
- 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? - Mixed or combined valvular heart diseases can influence on the artificial intelligence accuracy in detecting severe aortic stenosis?
- Are myocardial work and artificial intelligence useful in low-flow low-gradient aortic stenosis?
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