The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard‐to‐identify fetal cardiac anomalies?-Reference-Cited by-同舟云学术

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The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard‐to‐identify fetal cardiac anomalies?

Published:2024-07 Issue:1 Volume:64 Page:5-9
ISSN:0960-7692
Container-title:Ultrasound in Obstetrics & Gynecology
language:en
Short-container-title:Ultrasound in Obstet & Gyne

Author:

Drukker L.¹²^ORCID

Affiliation:

1. Women's Ultrasound, Department of Obstetrics and Gynecology, Rabin‐Beilinson Medical Center, School of Medicine, Faculty of Medical and Health Sciences Tel‐Aviv University Tel Aviv Israel

2. Oxford Maternal & Perinatal Health Institute (OMPHI) University of Oxford Oxford UK

Abstract

Linked article: This Editorial comments on articles by Day et al. and Taksøe‐Vester et al.

Publisher

Wiley

Link

https://obgyn.onlinelibrary.wiley.com/doi/pdf/10.1002/uog.27703

Reference40 articles.

1. Echocardiography of the Fetal and Newborn Heart

2. Echocardiographic and anatomical correlates in the fetus.

3. Prenatal diagnosis of congenital heart diseases by fetal echocardiography in second trimester: a Chinese multicenter study

4. First‐trimester ultrasound detection of fetal heart anomalies: systematic review and meta‐analysis

5. Prenatal detection of congenital heart disease at 12–13 gestational weeks: detailed analysis of false‐negative cases

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