How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?
A Pozza, L Zanella, B Castaldi, G Di Salvo - Journal of Clinical Medicine, 2024 - mdpi.com
Improvements in medical technology have significantly changed the management of
congenital heart disease (CHD), offering novel tools to predict outcomes and personalize …
congenital heart disease (CHD), offering novel tools to predict outcomes and personalize …
Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology
Z Rudnicka, K Proniewska, M Perkins… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, significant efforts have been made to create Health Digital Twins (HDTs), digital
twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …
twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …
The effect of 3D modeling on family quality of life, surgical success, and patient outcomes in congenital heart diseases: objectives and design of a randomized …
AA Sümengen, AV İsmailoğlu, P İsmailoğlu… - The Turkish Journal …, 2024 - turkjpediatr.org
Background. Understanding the severity of the disease from the parents' perspective can
lead to better patient outcomes, improving both the child's health-related quality of life and …
lead to better patient outcomes, improving both the child's health-related quality of life and …
Immersive 3D Visualisation (3D Printing, Virtual Reality) enhances spatial understanding of complex congenital heart defects
M Kappanayil, A Gurav, S Xavier, HA Maya… - medRxiv, 2024 - medrxiv.org
Background Diagnosing, managing complex CHD demands excellent morphological
understanding. Individual differences in visuospatial skills, training and experience can …
understanding. Individual differences in visuospatial skills, training and experience can …