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Cited 6 time in webofscience Cited 6 time in scopus
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Applications of artificial intelligence in obstetricsopen access

Authors
Kim, Ho YeonCho, Geum JoonKwon, Han Sung
Issue Date
Jan-2023
Publisher
대한초음파의학회
Keywords
Artificial intelligence; Obstetrics; Fetal cardiotocography; Ultrasonography; Magnetic resonance imaging
Citation
ULTRASONOGRAPHY, v.42, no.1, pp 2 - 9
Pages
8
Indexed
SCIE
SCOPUS
KCI
Journal Title
ULTRASONOGRAPHY
Volume
42
Number
1
Start Page
2
End Page
9
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/61873
DOI
10.14366/usg.22063
ISSN
2288-5919
2288-5943
Abstract
Artificial intelligence, which has been applied as an innovative technology in multiple fields of healthcare, analyzes large amounts of data to assist in disease prediction, prevention, and diagnosis, as well as in patient monitoring. In obstetrics, artificial intelligence has been actively applied and integrated into our daily medical practice. This review provides an overview of artificial intelligence systems currently used for obstetric diagnostic purposes, such as fetal cardiotocography, ultrasonography, and magnetic resonance imaging, and demonstrates how these methods have been developed and clinically applied.
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Cho, Geum Joon
Guro Hospital (Department of Obstetrics and Gynecology, Guro Hospital)
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