CONGRESS ABSTRACT

The virtual hospital is an emerging care delivery model designed to address the increasing clinical complexity and economic burden of cardiovascular diseases. By integrating artificial intelligence (AI), digital proximity care, and hospital-supervised remote management, this paradigm extends cardiovascular care beyond the physical hospital while maintaining clinical oversight. In this…

Background Accurate anatomical characterization of the aortic root is a key prerequisite for transcatheter aortic valve implantation (TAVI) planning. Although deep learning–based segmentation techniques have demonstrated high performance in delineating cardiac structures, the translation of automated segmentation into reliable extraction of clinically relevant anatomical landmarks remains a critical and…

Background In cardiovascular research and quality assessment, structured clinical data is often limited. A great deal of clinically relevant material remains embedded in unstructured discharge summaries. This is an important barrier to performing real-world outcome analysis, especially given the evaluation of procedural and postoperative complications. Aim To describe its…

Background: Conversational large language models (LLMs) are rapidly entering the medical domain, raising interest in their potential role as information-support tools in cardiology. However, objective, head-to-head evaluations of different LLMs in high-risk cardiovascular scenarios remain limited, particularly with respect to clinical accuracy and contextual adequacy. Aim: To benchmark the…