Back

Machine learning with electrocardiograms to optimize mortality risk stratification in patients with suspected acute coronary syndrome

10 March 2024 (10:50 - 11:35)
Organised by: Logo
Congress Presentation Part of: Cardiac emergencies Prehospital and Emergency Department Care ACVC Premium Access ESC Acute CardioVascular Care 2024 Association for Acute CardioVascular Care (ACVC)

About the speaker

Photo
Professor Salah Al-Zaiti

University of Pittsburgh, Pittsburgh (United States of America)

4 More presentations in this session

Presentation thumbnail
Markers of hemophagocytic lymphohistiocytosis are associated with survival in critically ill patients
Doctor M. Lenz (Vienna, AT)
Abstract Slides
Presentation thumbnail
The prognostic value of HEART score in patients with known heart failure evaluated at the emergency department for acute chest pain
Doctor M. Abuhannaneh (Amman, JO)
Abstract Slides
Presentation thumbnail
Serial invasive hemodynamics and clinical characteristics of patients with shock with and without invasive mechanical ventilation
Ms M. Padilla Lopez (Barcelona, ES)
Abstract Slides
Presentation thumbnail
Validation of utstein-based score to predict return of spontaneous circulation (UB-ROSC) in patients with out-of-hospital cardiac arrest
Doctor A. Fasolino (Monza, IT)
Abstract Slides

Access the full session

Session thumbnail
Cardiac emergencies

The Event

Event poster

ESC Acute CardioVascular Care 2024

10 March 2024 10:50 CET

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources