Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Congenital Heart Disease
47
Zitationen
12
Autoren
2022
Jahr
Abstract
The current era of big data offers a wealth of new opportunities for clinicians to leverage artificial intelligence to optimize care for pediatric and adult patients with a congenital heart disease. At present, there is a significant underutilization of artificial intelligence in the clinical setting for the diagnosis, prognosis, and management of congenital heart disease patients. This document is a call to action and will describe the current state of artificial intelligence in congenital heart disease, review challenges, discuss opportunities, and focus on the top priorities of artificial intelligence-based deployment in congenital heart disease.
Ähnliche Arbeiten
Heart Disease and Stroke Statistics—2012 Update
2011 · 7.220 Zit.
2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension
2015 · 6.912 Zit.
The incidence of congenital heart disease
2002 · 6.008 Zit.
Burden of valvular heart diseases: a population-based study
2006 · 4.743 Zit.
Updated Clinical Classification of Pulmonary Hypertension
2013 · 4.179 Zit.
Autoren
Institutionen
- Lurie Children's Hospital(US)
- Northwestern University(US)
- Boston Children's Hospital(US)
- Harvard University(US)
- Children's Hospital of Orange County(US)
- University of Colorado Anschutz Medical Campus(US)
- Children's National(US)
- Mayo Clinic(US)
- Imperial College London(GB)
- National Health Service(GB)
- German National Bone Marrow Donor Registry(DE)
- University Hospital Münster(DE)
- McGill University(CA)
- University of Florida(US)
- University of California, Los Angeles(US)