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Does embryo categorisation by existing artificial intelligence, morphokinetic, or morphological embryo selection models correlate with blastocyst euploidy rates?

被引：0
|
作者：
Kato, K. [1 ]
Ueno, S. [2 ]
Berntsen, J. [3 ]
Okimura, T. [2 ]
Kuroda, T. [1 ]
机构：
[1] Kato Ladies Clin, Gynecol, Tokyo, Japan
[2] Kato Ladies Clin, IVF Lab, Tokyo, Japan
[3] Vitrolife AS, Data Sci, Aarhus, Denmark
来源：
HUMAN REPRODUCTION | 2023年 / 38卷
关键词：
D O I：
暂无
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
O-240
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页数：2
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  • [1] Does embryo categorization by existing artificial intelligence, morphokinetic or morphological embryo selection models correlate with blastocyst euploidy rates?
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    [J]. HUMAN REPRODUCTION, 2024, 39 : I144 - I144
  • [3] Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF
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    [J]. REPRODUCTIVE BIOMEDICINE ONLINE, 2023, 47 (06)
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    [J]. HUMAN REPRODUCTION, 2023, 38
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