Value Creation Through Artificial Intelligence and Cardiovascular Imaging

Published: January 09, 2024

diagnostic imaging room
  • Many applications for artificial intelligence (AI) and machine learning (ML) are in development, yet the processes for their implementation vary along with the type of data to be collected, how it will be acquired and analyzed, and the clinical application to patient care.
  • This scientific statement establishes a framework for defining value in AI and CV imaging from an organizational perspective, to help identify activities where AI might create the greatest value for investment of resources.
  • AI has the potential to add value to CV imaging at every step along the patient journey, from modality selection to image acquisition and analysis through interpretation of results and cardiac event prediction.