Artificial intelligence in three-dimensional and fetal echocardiography

Pei Ni Jone

doi:10.1016/B978-0-323-90534-3.00046-9

Artificial intelligence in three-dimensional and fetal echocardiography

Pei Ni Jone^*

^*Corresponding author for this work

Pediatrics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Three-dimensional echocardiography and fetal echocardiography uses ultrasound as the backbone in diagnosing and managing congenital heart disease (CHD). Accurate and reliable echocardiographic assessment is critical in clinical decision making. Artificial intelligence technology has the potential to provide automated echocardiographic images to reduce operator dependency and variability in the assessment of CHD using 3D and fetal echocardiography. The application of artificial intelligence in 3D and fetal echocardiography are described and the need for future multicenter collaboration is required to leverage the use of artificial intelligence for 3D and fetal echocardiography in the pediatric population.

Original language	English (US)
Title of host publication	Intelligence-Based Cardiology and Cardiac Surgery
Subtitle of host publication	Artificial Intelligence and Human Cognition in Cardiovascular Medicine
Publisher	Elsevier
Pages	211-215
Number of pages	5
ISBN (Electronic)	9780323905343
ISBN (Print)	9780323906296
DOIs	https://doi.org/10.1016/B978-0-323-90534-3.00046-9
State	Published - Jan 1 2023

Keywords

Artificial intelligence
Congenital heart disease
Deep learning
Fetal echocardiography
Machine learning
Three-dimensional echocardiography

ASJC Scopus subject areas

General Agricultural and Biological Sciences
General Biochemistry, Genetics and Molecular Biology

Access to Document

10.1016/B978-0-323-90534-3.00046-9

Cite this

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KW - Fetal echocardiography

KW - Machine learning

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ER -

Artificial intelligence in three-dimensional and fetal echocardiography

Abstract

Keywords

ASJC Scopus subject areas

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