This chapter reviews the state-of-the-art landscape of cardiac imaging, encompassing echocardiography, cardiac magnetic resonance imaging, computed tomographic angiography, nuclear cardiology, and multimodality fusion approaches. It evaluates the diagnostic and prognostic utility of advanced parametric mapping techniques, strain imaging, and myocardial tissue characterization across a spectrum of cardiovascular conditions. Particular focus is placed on the transformative role of artificial intelligence and deep learning algorithms in automating image analysis, improving diagnostic accuracy, and enabling risk stratification at scale.

Medical Science
Advanced Cardiac Imaging: From Conventional Modalities to Artificial Intelligence Integration
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