Predicting cardiovascular risk factors from facial & full body photography using deep learning

26 August 2022 (11:15 - 12:00)

Organised by:

Abstract

Sign in to view the resources

Slides

About the speaker

Mr Marius Sebastian Knorr

Hamburg (Germany)

6 More presentations in this session

Presentation thumbnail

30 days mortality prediction and risk factor analysis of Asian patients with ACS using interpretable machine learning algorithm

Professor S. Kasim (Kuala Lumpur, MY)

Abstract Slides

Presentation thumbnail

Neuronal nets and logistic regression analysis provide improved prediction of infective endocarditis compared to the modified Duke Score: a post-hoc analysis of the prospective PRO-ENDOCARDITIS study

Doctor L. Vogel (Essen, DE)

Abstract Slides

Presentation thumbnail

Using artificial intelligence for device identification and characterization in angiographic sequences of TAVI procedures as radiomic biomarkers for prosthesis deterioration

Doctor C. Veiga (Vigo, ES)

Abstract Slides

Presentation thumbnail

Cardiovascular disease risk prediction via machine learning using mental health data

Doctor J. Verjans (Adelaide, AU)

Abstract Slides

Presentation thumbnail

Detection of left ventricular hypertrophy on the ECG through machine learning with a focus on obesity.

Doctor M. Marketou (Heraklion, GR) Doctor E. Angelaki (Boston, US)

Abstract Slides

Access the full session

Session thumbnail

e-Cardiology/Digital health - Artificial intelligence 2

The Event

Event poster

ESC Congress 2022

26 August 2022 11:15 CET

You may be interested in

Congress Session

Evolutions in arrythmia and syncope management

Congress Session

Artificial intelligence in heart failure research and clinical practice

Congress Presentation

Digital health and artificial intelligence in cardiology

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources