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Machine learning accurately quantifies epicardial adipose tissue from non-contrast CT images in coronary artery disease

1 December 2022 (08:00 - 19:00)
Organised by:
Congress Presentation Part of: e-Cardiology/Digital Health Artificial Intelligence ESC Professional Premium Access ESC Asia 2022 with APSC & AFC

About the speaker

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Doctor Nicholas Cheng

Bioinformatics Institute, Agency for Science, Technology and Research, Singapore (Singapore)

3 More presentations in this session

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Evaluation of cardiovascular risk scores after implementation of digital therapeutic intervention in patients with uncontrolled primary hypertension
Doctor S. Patil (Bangalore, IN)
Abstract Slides
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Prospective evaluation of digital therapeutic intervention on blood pressure control in Indian patients with uncontrolled primary hypertension
Doctor S. Kalashetti (Pune, IN)
Abstract Slides
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Implementation evaluation of mhealth interventions in the secondary prevention of coronary artery disease: a supplementary review
Doctor C. Lynch (Bundoora, AU)
Abstract Slides

Access the full session

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e-Cardiology/Digital Health

The Event

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ESC Asia 2022 with APSC & AFC

1 December - 3 December 2022
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources