Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

Abstract Background Congenital Heart Disease represents the most frequent fetal malformation. The lack of prenatal identification of congenital heart defects can have adverse consequences for the neonate, while a correct prenatal diagnosis of specific cardiac anomalies improves neonatal care neurolo...

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Bibliographic Details
Main Authors: Anda Ungureanu, Andreea-Sorina Marcu, Ciprian Laurentiu Patru, Dan Ruican, Rodica Nagy, Ruxandra Stoean, Catalin Stoean, Dominic Gabriel Iliescu
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Pregnancy and Childbirth
Subjects:
Artificial intelligence
Decision support systems
Echocardiography
Fetal cardiology
Online Access:https://doi.org/10.1186/s12884-022-05204-x

Internet

https://doi.org/10.1186/s12884-022-05204-x

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