Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model

Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model

Abstract Objective The study developed an intelligent online evaluation system for mediolateral episiotomy, which incorporated machine learning algorithms and integrated maternal physiological data collected during delivery. Methods In this study, a predictive model for mediolateral episiotomy was c...

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Bibliographic Details
Main Authors: Tingting Hu, Liheng Zhao, Xueling Zhao, Lin He, Xiaoli Zhong, Zhe Yin, Junjie Chen, Yanting Han, Ka Li
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Pregnancy and Childbirth
Subjects:
Early warning system
Mediolateral Episiotomy
Machine Learning
Online Access:https://doi.org/10.1186/s12884-025-07441-2
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https://doi.org/10.1186/s12884-025-07441-2

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