Back
ESC Professional Premium Access

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

Session: e-Cardiology/Digital Health
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Speaker: Doctor N. Cheng (Singapore, SG)
Event: ESC Asia 2022 with APSC & AFC

Congress Presentation

Add to my library

Like

About the speaker

Doctor Nicholas Cheng

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

3 more presentations in this session

Evaluation of cardiovascular risk scores after implementation of digital therapeutic intervention in patients with uncontrolled primary hypertension

Speaker: Doctor S. Patil (Bangalore, IN)

Access
Abstract
Slides
Like
Thumbnail

Prospective evaluation of digital therapeutic intervention on blood pressure control in Indian patients with uncontrolled primary hypertension

Speaker: Doctor S. Kalashetti (Pune, IN)

Access
Abstract
Slides
Like
Thumbnail

Implementation evaluation of mhealth interventions in the secondary prevention of coronary artery disease: a supplementary review

Speaker: Doctor C. Lynch (Bundoora, AU)

Access
Abstract
Slides
Like
Thumbnail

Access the full session

e-Cardiology/Digital Health

Speakers: Doctor N. Cheng, Doctor S. Patil, Doctor S. Kalashetti, Doctor C. Lynch
Access
Like
Thumbnail

About the event

Image

ESC Asia 2022 with APSC & AFC

1 December - 3 December 2022

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

logo Bristol Myers Squibb Explore sponsored resources
logo Novo Nordisk Explore sponsored resources