AI in Cardiovascular Care: Integrating the Future Into Clinical Practice Today-Slides: Dr. Chatzizsis

Slides: Dr. Chatzizsis

Pdf Summary

This presentation by Dr. Yiannis S. Chatzizisis of the University of Miami explores the transformative role of Artificial Intelligence (AI) and extended reality technologies in cardiovascular interventions, particularly in coronary artery disease (CAD) diagnosis and percutaneous coronary intervention (PCI) planning and execution.<br /><br />Key digital technologies highlighted include machine learning, deep learning, computational simulations, augmented/mixed/virtual reality, and AI-guided procedural planning. These tools enable precise hemodynamic assessments using FFRCT and AngioFFR, virtual clinical trials, and digital twin modeling—a computational replica of patient anatomy and physiology—for pre-procedural simulation. A clinical case of a 60-year-old woman with ischemic cardiomyopathy and severe distal left main (LM) coronary artery disease demonstrates how AI-driven assessments guide stent selection, placement, and post-stenting flow restoration for optimal outcomes.<br /><br />AI-enhanced planning informs multiple facets like lesion characterization (location, calcium burden, fibrosis), vessel anatomy, stent sizing, branch protection strategies, catheter choice, and procedural complexity prediction. AI-guided real-time PCI and computational stenting facilitate personalized interventions with improved accuracy and safety. The team also develops innovative teaching models using simulations and immersive extended reality environments to accelerate trainee learning.<br /><br />The work integrates expertise from biomedical engineers, vascular biologists, and clinicians supported by NIH and industry funding (Medtronic, Boston Scientific). This multidisciplinary effort aims to usher a new era of digital cardiovascular medicine, leveraging AI and advanced visualization to improve patient outcomes and procedural efficacy. The presentation emphasizes AI's potential to revolutionize cardiovascular care by enabling precise, dynamic, and individualized intervention planning and execution in the cardiac catheterization lab of the near future.

Keywords

Artificial Intelligence

Extended Reality

Cardiovascular Interventions

Coronary Artery Disease

Percutaneous Coronary Intervention

Machine Learning

Digital Twin Modeling

Hemodynamic Assessment

AI-guided Procedural Planning

Immersive Simulation Training