Applications of artificial intelligence in obstetricsopen access
- Authors
- Kim, Ho Yeon; Cho, Geum Joon; Kwon, 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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- There are no files associated with this item.
- Appears in
Collections - 2. Clinical Science > Department of Obstetrics and Gynecology > 1. Journal Articles
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