Back

Machine learning versus guideline recommended pathways for the diagnosis of myocardial infarction

25 August 2023 (14:30 - 14:40)
Organised by: Logo
Congress Presentation Part of: Machine learning to improve care of acute coronary syndromes Non-ST-Elevation Myocardial Infarction (NSTEMI) ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

Photo
Professor Jasper Boeddinghaus

Institute for Clinical Cardiovascular Science, Bonn (Germany)

5 More presentations in this session

Presentation thumbnail
The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes
Doctor L. Carvalho (Brasilia, BR)
Abstract Slides Video
Presentation thumbnail
Derivation and external validation of machine-learning- models for risk stratification in chest pain with normal troponin
Doctor P. Lopez Ayala (Basel, CH)
Abstract Slides Video
Presentation thumbnail
External validation of the myocardial-ischemic-injury-index: a machine learning algorithm for the early diagnosis of myocardial infarction
Doctor P. Lopez Ayala (Basel, CH)
Abstract Slides Video
Presentation thumbnail
Machine learning for in-hospital cardiac events prediction in patients with acute coronary syndrome: results from ADDICT-ICCU study
Doctor E. Gall (Paris, FR)
Abstract Slides Video
Presentation thumbnail
Deep learning to predict long-term mortality from plain chest radiographs in patients referred for suspected angina
Doctor M. Massussi (Brescia, IT)
Abstract Slides Video

Access the full session

Session thumbnail
Machine learning to improve care of acute coronary syndromes
Video

The Event

Event poster

ESC Congress 2023

25 August 2023 14:30 CET
You may be interested in
thumbnail
Congress Presentation
Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations
25 August 2023
thumbnail
Congress Presentation
Next-generation risk stratification: leveraging TabPFN to Predict MACE in chest pain patients after acute myocardial infarction rule-out in the emergency department
31 August 2026
thumbnail
Congress Presentation
Machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction
30 August 2024
thumbnail
Congress Presentation
Incremental value of cardiac myosin binding protein C to high-sensitivity cardiac troponin for the early diagnosis of acute myocardial infarction
31 August 2024

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