Artificial Intelligence in Cardiovascular Imaging: What Every Cardiovascular Imager Should Know? (Part 2)

Webinar Overview

This webinar, presented by the ACC Cardiovascular (CV) Imaging Council's workgroup on Artificial Intelligence (AI) and multimodality imaging and will discuss the potential applications of AI in CV imaging of coronary artery disease for diagnosis, clinical decision support, imaging processing, and care quality improvement. This webinar will also include challenges AI faces in CV imaging.

Key Objectives/Learning Outcomes:

  • Summarize recent AI applications in CV Imaging.
  • Synthesize basic principles of machine learning including supervised and unsupervised machine learning.
  • Evaluate potential applications of AI in CV Imaging for diagnosis, clinical decision support, imaging processing, and care quality improvement.
  • Identify challenges AI faces in CV Imaging and analyze the challenges related to conducting AI-based research projects, developing AI-based tools, and ways to address these challenges.

Webinar Recording

Webinar Participants

Andrew Choi, MD, FACC
Damini Dey, PhD, FACC
Dipti Itchhaporia, MD, MACC
Piotr Slomka, PhD, FACC
Alfonso H. Waller, MD, FACC

Credit Information

No credit is being offered for this webinar.

Clinical Topics: Noninvasive Imaging

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