WASHINGTON —The Journal of the Society for Cardiovascular Angiography & Interventions (JSCAI) proudly announces the publication of a groundbreaking special issue: The Role of Artificial Intelligence in Cardiovascular Interventions.
This issue explores how artificial intelligence (AI) is revolutionizing interventional cardiology, from diagnostic precision to procedural planning and patient outcomes. It features a collection of original research, reviews, and viewpoints that delve into AI’s applications across various subspecialties, including coronary interventions, structural heart disease, congenital heart disease, and cardiovascular imaging.
"AI is now an integral part of our daily lives, whether we are prepared for it or not. In medicine, particularly in interventional cardiology, its impact is profound. From image processing and diagnostic support to risk assessment and procedural decision-making, AI has the power to enhance precision, improve outcomes, and democratize expertise across the field,” said guest editor Elazer R. Edelman, MD, PhD, the Edward J. Poitras Professor in Medical Engineering and Science at MIT, a Professor of Medicine at Harvard Medical School, and a cardiac intensive care unit cardiologist at the Brigham and Women’s Hospital in Boston." We are at an inflection point where AI is no longer a concept of the future but a critical tool shaping today’s clinical practice. This special issue aims to provide clinicians, researchers, and industry leaders with insights into the capabilities, limitations, and future directions of AI in cardiovascular interventions.”
The special issue examines AI’s role in several core areas of interventional cardiology, including:
- Intravascular Imaging: AI-powered imaging software enhances real-time visualization, automates plaque characterization, and guides stent deployment with greater accuracy.
- Percutaneous Coronary Intervention (PCI) Optimization: AI-based decision support tools assist interventionalists in choosing the best treatment strategy based on patient-specific data, reducing complications and improving outcomes.
- Risk Prediction Models for Procedural Success: AI enables predictive analytics to assess a patient’s risk for restenosis, thrombosis, or procedural failure, helping physicians tailor interventions accordingly.
- Robotics and Automation in the Cath Lab: AI-driven robotic-assisted interventions are improving precision, reducing radiation exposure, and enabling remote-controlled procedures.
- AI in Structural Heart Disease: AI-powered imaging and computational models are optimizing transcatheter valve interventions, reducing procedural time, and enhancing post-procedural assessment.
Furthermore, the special issue discusses the acceleration of cardiovascular device innovation through AI-powered trials, which have the potential to reduce development timelines and regulatory burdens while ensuring patient safety by simulating device behavior. The guest editors emphasized the urgent need for clinicians to familiarize themselves with AI and gain literacy in this area so they will be well-equipped to navigate the technological revolution.
“AI integration must be approached responsibly. As we embrace AI, we must also be mindful of its limitations, ensuring that human oversight remains central to its application in cardiovascular care. This will require ongoing validation, rigorous data privacy protections, and a commitment to addressing bias in AI-driven decision support systems,” said guest editor Yiannis S. Chatzizisis, MD, PhD, MSc, FSCAI, professor and chief, Division of Cardiovascular Medicine, at the University of Miami Miller School of Medicine. “One of the most transformative features of AI in our field is the ability to democratize access to expertise. By integrating AI into cardiovascular interventions, we can bridge gaps in training, enhance procedural outcomes, and ultimately improve patient care on a global scale.”
JSCAI’s Editor-in-Chief, Alexandra J. Lansky, MD, MSCAI emphasized the journal’s mission in delivering timely, clinically relevant content.
"Many clinicians and researchers may not yet grasp the full scope of AI’s impact, and this special issue arrives at a pivotal moment to highlight its transformative potential,” said Dr. Lansky, professor of Medicine in the section of cardiology at the Yale School of Medicine and a cardiologist at Yale-New Haven Hospital. "Unlike other journals that focus on the nuts and bolts of AI and machine learning mechanics, we are bringing the clinical relevance of AI to the forefront. No comparable resource comprehensively examines AI across all subspecialties of interventional cardiology—coronary, structural, congenital, and peripheral interventions—through a holistic and practical lens. This issue is designed to be indispensable to practicing interventionalists."
Issue link: https://www.jscai.org/issue/S2772-9303(25)X0003-X
Media Contact: Gavin Stern gstern@scai.org
About SCAI: The Society for Cardiovascular Angiography and Interventions is a professional organization representing more than 5,000 invasive and interventional cardiology professionals in approximately 75 nations. SCAI's mission is to promote excellence in invasive/interventional cardiovascular medicine through physician education and representation, and advancement of quality standards to enhance patient care.
Journal
Journal of the Society for Cardiovascular Angiography & Interventions