CardioVision: A Software Platform to Bring Artificial Intelligence and Mixed Reality to Pediatric Cardiology

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.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/bibm62325.2024.10822130
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24
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article

CardioVision: A Software Platform to Bring Artificial Intelligence and Mixed Reality to Pediatric Cardiology

Björn Cools, G Annoni, Andréas Jahnen, Isabelle Thierry-Chef et al.
2 citations
Artificial Intelligence in Healthcare and Education
0.24
article

CardioVision: A Software Platform to Bring Artificial Intelligence and Mixed Reality to Pediatric Cardiology

Björn Cools, G Annoni, Andréas Jahnen, Isabelle Thierry-Chef, Alexandru Tantar, Jérémie Dabin
article en
2 citations

Abstract

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.

Luxembourg Institute of Science and Technology (LU), Belgian Nuclear Research Centre (BE), Ospedale Regina Margherita (IT), Barcelona Institute for Global Health (ES), KU Leuven (BE)
Openalex Percentile: Top 38%
Artificial Intelligence in Healthcare and Education
0.24
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CardioVision: A Software Platform to Bring Artificial Intelligence and Mixed Reality to Pediatric Cardiology — Björn Cools, G Annoni, et al. · (2024) | TGRS Research Map | TGRS