,PDA

Erik Küng1, Katharina Göral1, Lukas Unterasinger1

  • 1Division of Neonatology, Pediatric Intensive Care & Neuropediatrics, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria.

Pediatric research
|October 30, 2025
PubMed
概括

这项研究开发了一种新的机器学习工具,用于预测极度早产婴儿血液动力学上显著的专利动脉管 (hsPDA) 的风险. 易于使用的分数有助于及时干预的早期风险评估.