[Artificial intelligence and radiomics : Value in cardiac MRI]

Area of Science:

• Cardiovascular Imaging
• Artificial Intelligence in Medicine
• Radiomics

Context:

• Cardiac diseases are a leading cause of mortality, necessitating accurate diagnostic tools.
• Cardiac magnetic resonance imaging (MRI) is crucial for diagnosing cardiac pathologies but is complex and time-consuming.
• Current cardiac MRI methods face challenges in reproducibility due to acquisition and interpretation complexities.

Purpose:

• To explore the potential of artificial intelligence (AI) and radiomics in improving cardiac MRI.
• To assess how AI and radiomics can enhance image acquisition, interpretation, and diagnostic value in cardiac MRI.
• To identify new biomarkers through AI and radiomic analysis in cardiac MRI.

Summary:

• AI and radiomics show promise in enhancing cardiac MRI acquisition and interpretation, potentially improving diagnostic and prognostic capabilities.
• These advanced techniques may lead to the discovery of novel biomarkers for cardiac conditions.
• Despite the potential, current evidence is limited, with a need for more prospective, multicenter studies to validate AI algorithms for clinical routine.

Impact:

• AI and radiomics can significantly improve the efficiency and accuracy of cardiac MRI.
• The integration of AI may lead to the identification of new diagnostic and prognostic biomarkers.
• Wider clinical adoption of AI in cardiac MRI is contingent upon further validation through large-scale studies.