Explainable AI for myocardial infarction using the vectorcardiogram

7 April 2024 (13:30 - 14:15)

Organised by:

Video

Sign in for access options

Abstract

Slides

About the speaker

Miss Elisa Ramirez

Universitat Politecnica de Valencia, Valencia (Spain)

5 More presentations in this session

Presentation thumbnail

AI-based heart monitoring: the FIFPRO player pilot study

Mr F. De Guio (FR)

Abstract Slides Video

Presentation thumbnail

A polygenic risk score predicts future atrial fibrillation-related stroke/systemic embolism

Professor J. Sung (Seongnam, KR)

Abstract Slides Video

Presentation thumbnail

Left atrial function and polygenic risk scores for predicting atrial fibrillation and related stroke/systemic embolism

Doctor H. Park (Seoul, KR)

Abstract Slides Video

Presentation thumbnail

Long-term risk assessment in athletes with ventricular arrhythmias: the key roles of arrhythmia morphology, complexity, and substrate

Doctor P. Compagnucci (Ancona, IT)

Abstract Slides Video

Presentation thumbnail

Cardiovascular mortality in patients with atrial fibrillation and physical activity intensity: delineating the threshold of vigorous activity

Doctor Y. Lin (Taipei, TW)

Abstract Slides Video

Access the full session

Session thumbnail

Miscellaneous 1

The Event

Event poster

EHRA 2024

7 April 2024 13:30 CET

You may be interested in

Congress Presentation

International evaluation of an artificial intelligence powered electrocardiogram model detecting acute coronary occlusion myocardial infarction

Congress Presentation

Training and validation of an ECG-based deep-learning model for the early diagnosis of acute myocardial infarction

Congress Presentation

Efficiency of an artificial intelligence powered electrocardiogram model for early detection of occlusion myocardial infarction in acute coronary syndrome: a multicenter cohort study

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources