Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA

Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite the development of many cardiac imaging AI algorithms, AI tools are at various stages of development and face challenges for clinical implementation.

This collaborative multisociety effort explores artificial intelligence applications in cardiac CT and MRI, evaluating their readiness level from research to clinical deployment while addressing ethical, legal, and environmental sustainability considerations.

• Various artificial intelligence (AI) applications to support cardiac CT and MRI workflows at different stages are available or under development at different maturity levels.
• A nine-level technology readiness scale summarizes the maturity level of AI tools from preliminary research and development to clinical deployment.
• Most AI tools for cardiac CT and MRI are predominantly in development stages, indicating a long journey ahead before realizing their full impact on clinical care.
• Widespread AI clinical deployment should be done in parallel with efforts to address ethical concerns, improve cost-effectiveness, and promote sustainability.