Artificial intelligence in prenatal cardiac diagnostics

被引：3
|
作者：
Weichert, Jan [1 ,2 ]
Welp, Amrei [1 ]
Scharf, Jann Lennard [1 ]
Dracopoulos, Christoph [1 ]
Rody, Achim [1 ]
Gembicki, Michael [1 ]
机构：
[1] Univ Klinikum Schleswig Holstein, Bereich Pranatalmed & Spezielle Geburtshilfe, Klin Frauenheilkunde & Geburtshilfe, Campus Lubeck, Lubeck, Germany
[2] Zentrum Pranatalmed Elbe, Hamburg, Germany
来源：
GYNAKOLOGE | 2022年 / 55卷 / 01期
关键词：
Echocardiography; Ultrasound; Pregnancy; high-risk; Cardiovascular diseases; Interobserver variability; FETAL HEART; FUTURE; TRACKING;
D O I：
10.1007/s00129-021-04890-6
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
The prenatal detection rates of fetal heart defects have remained low despite the implementation of national and international screening programs. The detection rates in the low-risk population range from 22.5% to 52.8%. Promising approaches for improved detection rates could include automated applications of artificial intelligence (AI). With reference to novel and already established AI solutions from adult cardiology, this review discusses the possibilities and limitations of AI algorithms for fetal echocardiography.
引用
收藏
页码：22 / 31
页数：10
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