Back
ACVC Premium Access

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

Session: Cardiac emergencies
Topic: Prehospital and Emergency Department Care
Speaker: Professor S. Al-Zaiti (Pittsburgh, US)
Event: ESC Acute CardioVascular Care 2024

Congress Presentation

Add to my library

Like

About the speaker

Professor Salah Al-Zaiti

University of Pittsburgh, Pittsburgh (United States of America)
0 follower

4 more presentations in this session

Markers of hemophagocytic lymphohistiocytosis are associated with survival in critically ill patients

Speaker: Doctor M. Lenz (Vienna, AT)

Access
Abstract
Slides
Like
Thumbnail

The prognostic value of HEART score in patients with known heart failure evaluated at the emergency department for acute chest pain

Speaker: Doctor M. Abuhannaneh (Amman, JO)

Access
Abstract
Slides
Like
Thumbnail

Serial invasive hemodynamics and clinical characteristics of patients with shock with and without invasive mechanical ventilation

Speaker: Ms M. Padilla Lopez (Barcelona, ES)

Access
Abstract
Slides
Like
Thumbnail

Validation of utstein-based score to predict return of spontaneous circulation (UB-ROSC) in patients with out-of-hospital cardiac arrest

Speaker: Doctor A. Fasolino (Pavia, IT)

Access
Abstract
Slides
Like
Thumbnail

Access the full session

Cardiac emergencies

Speakers: Professor S. Al-Zaiti, Doctor M. Lenz, Doctor M. Abuhannaneh, Ms M. Padilla Lopez, Doctor A. Fasolino
Access
Like
Thumbnail

About the event

Image

ESC Acute CardioVascular Care 2024

8 March - 10 March 2024

Sessions Presentations

Congress
logo Image

ESC 365 is supported by

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