Learning objectives

After watching this webinar, participants will understand: 

• the principle of machine learning applied to cardiovascular imaging;
• the data machine learning method for creating a risk prediction score;
• how to use artificial intelligence tools of CV imaging in clinical routines; and
• the limitations – and the risk of error – in imaging results obtained by artificial intelligence.

Needs assessment and expected educational outcome

To inform clinicians concerning the creation of AI tools, as well as their limitations and risk of error – taking account of the fact that artificial intelligence is ubiquitous in the current practice of cardiovascular imaging and will remain so in the future.  

Main topic

• IMAGING

Related topics

• Artificial Intelligence

This webinar is designed for cardiologists working in the field of cardiovascular imaging, and those 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).