Applications of artificial intelligence in obstetrics

被引：11
|
作者：
Kim, Ho Yeon [1 ]
Cho, Geum Joon [1 ,3 ]
Kwon, Han Sung [2 ,4 ]
机构：
[1] Korea Univ, Dept Obstet & Gynecol, Coll Med, Seoul, South Korea
[2] Konkuk Univ, Res Inst Med Sci, Dept Obstet & Gynecol, Div Maternal & Fetal Med,Sch Med, Seoul, South Korea
[3] Korea Univ, Korea Univ Guro Hosp, Dept Obstet & Gynecol, Coll Med, 148 Gurodong Ro, Seoul 08308, South Korea
[4] Konkuk Univ, Res Inst Med Sci, Dept Obstet & Gynecol, Div Maternal & Fetal Med,Sch Med, 120 1 Neungdong Ro, Seoul 08308, South Korea
来源：
ULTRASONOGRAPHY | 2023年 / 42卷 / 01期
关键词：
Artificial intelligence; Obstetrics; Fetal cardiotocography; Ultrasonography; Magnetic resonance imaging; AUTOMATIC DETECTION; FETAL; CARDIOTOCOGRAPHY; CLASSIFICATION; SEGMENTATION; NETWORK; PLANE; STATE; FINE;
D O I：
10.14366/usg.22063
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
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.
引用
收藏
页码：2 / 9
页数：8
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