Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context

Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context

Summary: Background: Duration of second stage of labor is crucial for fetal delivery, but the optimal length of this stage remains controversial. While extending the duration of second stage can reduce primary cesarean delivery rates, it may increase maternal and neonatal morbidities as the duratio...

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Bibliographic Details
Main Authors: Xiaoqing Huang, Xiaodan Di, Suiwen Lin, Minrong Yao, Suijin Zheng, Shuyi Liu, Wayan Lau, Zhixin Ye, Zilian Wang, Bin Liu
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:EClinicalMedicine
Subjects:
Duration of second stage of labor
Machine learning
Personalized medicine
Obstetric prediction
Vaginal delivery
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025000045
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