Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Interaction between clinicians and artificial intelligence to detect fetal atrioventricular septal defects on ultrasound: how can we optimize collaborative performance?
13
Zitationen
12
Autoren
2024
Jahr
Abstract
AI has the potential to improve performance when used in collaboration with clinicians, even if the model performance does not reach expert level. Giving additional information about model workings such as model confidence and class activation map image overlays did not improve overall performance, and actually worsened performance for images for which the AI model was incorrect. © 2024 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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.