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Deep-learning based prediction of peak oxygen uptake in athletes using 2D echocardiographic videos

11 May 2023 (13:30 - 14:15)
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Congress Presentation Part of: Artificial intelligence 2 Artificial Intelligence EACVI Premium Access EACVI 2023

About the speaker

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Mr Adam Szijarto

Semmelweis University, Budapest (Hungary)

7 More presentations in this session

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Machine learning for the generation of personalized image analysis protocol in echocardiography: a pilot study in arterial hypertension
Associate Professor N. Duchateau (Villeurbanne, FR)
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Automated evaluation of the left-sided heart volumes using machine learning during stress echocardiography: a multicenter stress echo 2030 study
Mr A. Karuzas (Kaunas, LT)
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Comparison of the accuracy and reproducibility of AI based echocardiography and CMR analysis for cardiac function assessment in oncology patients at risk of cardiotoxicity
Doctor B. Dowsing (London, GB)
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Evaluating the feasibility of using artificial intelligence for right ventricle function analysis in a routine clinical setting
Doctor Z. Dindane (Giessen, DE)
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Artificial intelligence-based point-of-care lung ultrasound for screening Covid-19 pneumoniae: comparison with CT scans
Doctor T. Kaneko (Tokyo, JP)
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Access the full session

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Artificial intelligence 2

The Event

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EACVI 2023

11 May 2023 13:30 CET
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