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Updated: Feb 20, 2026

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预测死产:当前的方法,挑战和未来的方向

Alexis A Doyle1, Nathan R Blue2

  • 1Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Utah Health, Salt Lake City, UT, USA; Intermountain Health, Maternal Fetal Medicine. Salt Lake City, UT, USA.

Clinics in perinatology
|February 18, 2026
PubMed
概括

由于有限的数据和传统模型,预测死胎是具有挑战性的. 新的奥米克和人工智能方法显示出更好的预测的希望,但需要进一步的临床验证.

关键词:
人工智能的人工智能是人工智能.生物标志物 生物标志物基因组学就是基因组学.机器学习 机器学习预测建模的预测建模.风险分层是指风险的分层.一个死胎,一个死胎.

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