Improving the prediction of shoulder dystocia using artificial intelligence - a novel approach

被引：0
|
作者：
Tsur, Abraham [1 ,2 ]
Batsry, Linoy [1 ]
Barak, Oren [3 ]
Brezinov, Yoav [3 ]
Toussia-Cohen, Shlomo [1 ]
Yoeli-Ullman, Rakefet [1 ]
Sivan, Eyal [1 ]
Blumenfeld, Yair J. [2 ]
Druzin, Maurice L. [2 ]
Stevenson, David K. [2 ]
Aran, Dvir [4 ]
机构：
[1] Sheba Med Ctr, Dept Obstet & Gynecol, Ramat Gat, Israel
[2] Stanford Univ, Palo Alto, CA 94304 USA
[3] Kaplan Med Ctr, Dept Obstet & Gynecol, Rehovot, Israel
[4] Univ Calif San Francisco, San Francisco, CA 94143 USA
来源：
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY | 2019年 / 220卷 / 01期
关键词：
D O I：
10.1016/j.ajog.2018.11.679
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
657
引用
收藏
页码：S435 / S436
页数：2
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