Value Creation Through Artificial Intelligence and Cardiovascular Imaging
Published: January 09, 2024
- 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.
Supporting Materials
Recommended Reading
- State-of-the-Art Imaging of Infiltrative Cardiomyopathies
- Cardiovascular Imaging in Contemporary Cardio-Oncology
- 2021 Guideline for the Evaluation and Diagnosis of Chest Pain
- Spontaneous Coronary Artery Dissection: Current State of the Science
- Expert Consensus Recommendations for Multimodality Imaging in Cardiac Amyloidosis
- 2009 Appropriate Use Criteria for Cardiac Radionuclide Imaging