Artificial intelligence: current applications in coronary image analysis in its potential in treatment planning

Anchorperson: R. Kornowski
Spokesperson: A. Baumbach
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Summary

What should cardiologists be aware of regarding artificial intelligence? How will artificial intelligence impact interventional cardiology? If you share these questions, absolutely watch this presentation.

Learning Objectives

  • To appreciate the potential value of artificial intelligence in invasive and non-invasive coronary image analysis
  • To become familiar with the existing artificial intelligence methods introduced to expedite image segmentation
  • To be introduced to artificial intelligence methods developed for a computerised assessment of coronary artery physiology
  • To be informed about the current applications of artificial intelligence methods and the emerging methodologies that are expected to be introduced in the clinical practice

Presentations available when logged in:

  • Session objectives
  • Deep learning methodologies for comprehensive IVUS segmentation
  • How AI can expand the use of OCT imaging in clinical practice
  • Deep learning methodologies for assessing coronary physiology
  • AI for CTCA segmentation: from risk stratification to treatment planning
  • Session evaluation and key learnings