Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?
20
Zitationen
12
Autoren
2023
Jahr
Abstract
If used independently, our AI model performance is slightly worse than the performance level of the current screening programme in detecting HLHS, and this performance is likely to deteriorate further when used prospectively. This demonstrates that collaboration between humans and AI will be key for effective future clinical use.
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 · 6.913 Zit.
The incidence of congenital heart disease
2002 · 6.008 Zit.
Burden of valvular heart diseases: a population-based study
2006 · 4.744 Zit.
Updated Clinical Classification of Pulmonary Hypertension
2013 · 4.179 Zit.
Autoren
Institutionen
- King's College London(GB)
- Guy's and St Thomas' NHS Foundation Trust(GB)
- Department of Health and Social Care(GB)
- University of East London(GB)
- University of London(GB)
- Great Ormond Street Hospital for Children NHS Foundation Trust(GB)
- Friedrich-Alexander-Universität Erlangen-Nürnberg(DE)
- Imperial College London(GB)