Learning objectives

After watching this webinar, participants will: 

• understand the future role of machine learning in diagnosis and differential diagnosis for ACS;
• have more knowledge about early and reliable detection of myocardial infarction; and
• recognize both the pitfalls and improvement of AI, as well as the future role of machine learning.

Needs assessment and expected educational 

To better understand a new machine learning algorithm for diagnosis of ACS and its clinical relevance within AI, as well as to envision its possible impact on future ACS diagnoses.

Main Topic

• Artificial Intelligence (Machine Learning, Deep Learning)

Related Topic

• Biomarkers in Acute Coronary Syndromes

Session information

This webinar is designed for Cardiologists, Intensivists and Emergency physicians; already educated or in education. 

During the webinar, you will be encouraged to send your questions by chat and interact with our key opinion leaders who will provide live feedback.

Technical settings

The webinar is available on PC and tablets. The use of a smartphone is not recommended.

To answer the MCQs during the live, you must allow pop-up windows.

A high-speed Internet connection is required (minimum 2 Mbps).