Level 1 Certification Programme on Artificial Intelligence in Cardiovascular Imaging

28 April 2026
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Course IMAGING 9h 50min Subspecialty

Learning objectives:

After completing this eLearning course, you will be able to: 

  • Define core AI terms (ML, DL) and describe its placement within the digital health ecosystem, including its strengths, limitations, and biases when applied to cardiovascular imaging.
  • Identify high-yield tasks for AI across major cardiac imaging modalities (Echo, CMR, CT/Nuclear) and evaluate its measurable value (speed, reproducibility) in current clinical workflows.
  • Summarise key regulatory requirements (e.g., EU AI Act, GDPR) and ethical principles (e.g., bias, consent, accountability) for the safe and equitable deployment of AI.
  • Differentiate learning types, interpret common performance metrics (e.g., AUC, Dice), and recognize core concepts for building and validating AI models.
  • Establish the necessary infrastructure (hardware, software, secure data pipelines) and devise a strategy for integrating AI into Hospital Information Systems (PACS/RIS/EHR) with human-in-the-loop oversight.


Target audience:

Cardiologists, radiologists, data-scientists, imaging specialists, researchers... with all what they should know about AI in cardiovascular imaging.

This course can be purchased by both members and non-members.

SAVINGS! EACVI Members and FEACVI save 50% on the course fee.

  • €100 for non members
  • €50 for EACVI members & FEACVI

Once you have purchased the course, you will have 12 months to complete it.


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This educational programme is accredited for 9 CME Credit(s). Each participant should claim only those hours of credits that have actually been spent in the educational activity.

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