Cardiac Imaging: 4D, Multi-Modal & AI-Enhanced
Cardiac imaging has evolved with advanced 4D techniques, multi-modal approaches, and AI-enhanced analytics. Modalities including echocardiography, cardiac MRI, CT, and PET enable detailed structural and functional assessment. 4D imaging captures dynamic cardiac motion, providing precise volumetric and flow data. AI algorithms assist in automated segmentation, anomaly detection, and risk prediction. Multi-modal fusion combines anatomical, functional, and metabolic information for comprehensive evaluation. Real-time imaging improves procedural guidance in interventional cardiology and structural heart interventions. Quantitative imaging biomarkers enhance disease monitoring, therapy response assessment, and prognostic evaluation. Research focuses on reducing radiation exposure, improving spatial resolution, and integrating machine learning for predictive modeling. Personalized imaging protocols optimize patient care, reduce diagnostic errors, and support clinical decision-making. This integration of advanced imaging and computational analytics transforms cardiovascular diagnostics, providing high-resolution, actionable insights for precision cardiology.
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Cardiac Imaging: 4D, Multi-Modal & AI-Enhanced Conference Speakers
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