We are witnessing an era of accelerated development of advanced artificial intelligence (AI) and machine learning (ML) techniques designed to maximize data extraction from conventional cardiac imaging. These applications offer the potential for scientific advancement and improved patient care.
The SCCT Innovation Series will bring together AI/ML developers, the clinical cardiac CT community and other relevant stakeholders to discuss the development, validation and clinical implementation of these technologies in cardiovascular medicine.
Designed to promote intensive interaction in an informal way, this meeting will include hands-on workshop experience in data and image analysis with AI/ML tools, lectures from experts in the field and round-table discussion.
This meeting will focus on developments in AI and ML, that have the potential to impact on cardiovascular medicine and cardiovascular CT. Recognizing that within these boundaries the potential of these technologies is still broad, we will focus in this first meeting on the theme of coronary artery disease, allowing for an in-depth discussion on clinical applications of these technologies with a wide range of stakeholders from clinical, academic and commercial arenas.
Themes for future meeting themes would include wider clinical applications of these technologies in the areas of structural. congenital, heart muscle and electrical heart disease.
Ed Nicol, MD, MBA, FSCCT
Koen Nieman, MD, PhD, FSCCT
Michelle Williams, MD, PhD, FSCCT