Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination.

Julien StirnemannR BessonE SpaggiarIS RojoF LogeH Peyro-Saint-PaulS AllassonniereE Le PennecC HutchinsonN SebireYves Ville

Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2023)

The DSS displayed high performance indicators on real data. This validation study suggests that such a software can improve perinatal care, efficiently bringing complex and otherwise overlooked knowledge to care-providers involved in ultrasound-based prenatal diagnosis. This article is protected by copyright. All rights reserved.

Keyphrases

artificial intelligence
healthcare
big data
magnetic resonance imaging
machine learning
palliative care
deep learning
quality improvement
pregnant women
affordable care act
pain management
electronic health record
contrast enhanced ultrasound
data analysis
ultrasound guided