Learning objectives

After watching this webinar, participants will understand:

• the principles of deep learning and its role in interpreting ECG data for predicting sudden cardiac death (SCD) and arrhythmias;
• how AI-driven models can improve early detection and risk stratification of patients at high risk for SCD and arrhythmic events; and
• the challenges, limitations, and ethical implications of implementing AI-based ECG analysis in clinical practice, including bias, validation, and regulatory compliance.

Needs assessment and expected educational outcome

To provide basic understanding of deep learning and to create awareness about how it can be applied in the field of cardiology. 

Main topic:

• e-Cardiology/Digital Health - Artificial Intelligence (Machine Learning, Deep Learning)

Related topics:

• Arrhythmias, General - Diagnostic Methods - Electrocardiography (ECG)
• e-Cardiology/Digital Health - Cardiovascular Signal Processing - Electrocardiogram (ECG) and Arrhythmia Analysis

Interested in this topic ?

Visit the ESC Artificial Intelligence Hub webpage and the FOCUS on Digital Tools and Artificial Intelligence in Cardiology to discover the AI initiatives.

Session information

This webinar is designed for general practitioners, primary care doctors and general cardiologist but also cardiologists wishing to update their scientific knowledge on the topic.

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).