Cardiac CT and AI-Assisted Angiography
Cardiac CT angiography (CCTA) has become a frontline tool for non-invasive assessment of coronary arteries, offering high-resolution visualization of luminal stenosis and plaque morphology. Beyond anatomical imaging, advances in CT perfusion and fractional flow reserve CT (FFR-CT) provide functional insights into ischemia. However, the interpretation of vast imaging datasets presents challenges, opening opportunities for artificial intelligence (AI) integration. AI-driven algorithms enhance image reconstruction, automate plaque quantification, and improve risk stratification by identifying high-risk features invisible to human observers.
Recent studies suggest that AI-assisted CCTA can improve diagnostic accuracy, predict clinical outcomes, and reduce unnecessary invasive procedures. This track will explore the transformative role of AI in angiography, covering applications in rapid diagnosis, longitudinal monitoring, and precision treatment planning. Ethical and logistical considerations, including data validation and integration into clinical workflows, will also be addressed. Participants will gain an understanding of how AI-enabled cardiac CT may soon redefine the standard of care in coronary artery disease evaluation.
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