Development and validation of a machine learning model for prediction of cephalic dystocia

Abstract Background Early detection of cephalic dystocia is challenging, and current clinical assessment tools are limited. Machine learning offers unique advantages, enabling the generation of predictive models using various types of clinical data. Our model aims to integrate objective ultrasound d...

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Bibliographic Details

Published in:	BMC Pregnancy and Childbirth
Main Authors:	Yumei Huang, Xuerong Ran, Xueyan Wang, Defang Wu, Zheng Yao, Jinguo Zhai
Format:	Article
Language:	English
Published:	BMC 2025-08-01
Subjects:	Machine learning Cephalic dystocia Risk assessment Prediction model
Online Access:	https://doi.org/10.1186/s12884-025-07972-8