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Creation of mortality risk calculator using a I-123 mIBG-based machine learning model: differential prediction of arrhythmic death and heart-failure death

9 May 2021 (00:00 - 00:00)
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Congress Presentation Part of: Artificial Intelligence Inflammation, Infection, and Infiltrative Cardiovascular Disorders EACVI Premium Access ICNC-CT 2021

About the speaker

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Professor Kenichi Nakajima

Kanazawa University Hospital, Kanazawa (Japan)

4 More presentations in this session

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Potential role of CT-radiomics of epicardial adipose tissue in the prognosis of atrial fibrillation catheter ablation outcome
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Inter-operator reliability of an onsite machine learning-based prototype to estimate CT angiography-derived fractional flow reserve
Ms Y. Han (Houston, US)
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Radiomics analysis of myocardial perfusion SPECT images in patients with cardiomyopathy and heart failure
Assistant Professor K. Okuda (Hirosaki, JP)
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Prediction of obstructive coronary artery disease after Rb-82 PET myocardial perfusion imaging and coronary artery calcium scoring using machine learning
Doctor J. van Dijk (Zwolle, NL)
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Access the full session

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Artificial Intelligence

The Event

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ICNC-CT 2021

9 May - 11 May 2021

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources