TY - GEN
T1 - CardioVision: a software platform to bring Artificial Intelligence and mixed reality to pediatric cardiology
AU - Jahnen, Andreas
AU - Dabin, Jérémie
AU - Annoni, Giuseppe Alberto
AU - Tantar, Alexandru Adrian
AU - Cools, Bjorn
AU - Thierry-Chef, Isabelle
N1 - Score=1
PY - 2024/12/6
Y1 - 2024/12/6
N2 - Pediatric cardiology presents a unique set of challenges, where the accurate diagnosis and treatment of rare and complex conditions demand a thorough understanding of patient-specific anatomy and physiology. However, the integration of cutting-edge research and AI models into clinical practice remains a significant practical challenge. CardioVision is a novel software platform designed to bridge this gap, providing pediatric cardiologists with an easy accessible and comprehensive tool for preparing and managing challenging cases. By integrating AI-powered analytics, 3D visualization, and collaborative workflows, CardioVision enables clinicians to make more informed decisions, reduce radiation dose to the patient, and improve patient outcomes. This paper presents the CardioVision platform, highlighting its key features and functionalities, and discusses the potential CardioVision has for improving personalized medicine in pediatric cardiology.
AB - Pediatric cardiology presents a unique set of challenges, where the accurate diagnosis and treatment of rare and complex conditions demand a thorough understanding of patient-specific anatomy and physiology. However, the integration of cutting-edge research and AI models into clinical practice remains a significant practical challenge. CardioVision is a novel software platform designed to bridge this gap, providing pediatric cardiologists with an easy accessible and comprehensive tool for preparing and managing challenging cases. By integrating AI-powered analytics, 3D visualization, and collaborative workflows, CardioVision enables clinicians to make more informed decisions, reduce radiation dose to the patient, and improve patient outcomes. This paper presents the CardioVision platform, highlighting its key features and functionalities, and discusses the potential CardioVision has for improving personalized medicine in pediatric cardiology.
KW - Personalized medicine
KW - Pediatric cardiology
KW - AI
KW - Software platform
KW - Collaborative workflows
KW - Visualization
KW - Mixed Reality
UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/90152238
U2 - 10.1109/BIBM62325.2024.10822130
DO - 10.1109/BIBM62325.2024.10822130
M3 - In-proceedings paper
SN - 979-8-3503-8623-3
T3 - IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
BT - 2024 IEEE International Conference on Bioinformatics and Biomedicine
PB - IEEE Computer Society
ER -