A multimodal model in the prediction of the delivery mode using data from a digital twin-empowered labor monitoring system

A multimodal model in the prediction of the delivery mode using data from a digital twin-empowered labor monitoring system

Objective This study aims to address the limitations of current clinical methods in predicting delivery mode by constructing a multimodal neural network-based model. The model utilizes data from a digital twin-empowered labor monitoring system, including computerized cardiotocography (cCTG), ultraso...

Full description

Saved in:
Bibliographic Details
Main Authors: Jieyun Bai, Xue Kang, Weishan Wang, Ziduo Yang, Weiguang Ou, Yuxin Huang, Yaosheng Lu
Format: Article
Language:English
Published: SAGE Publishing 2024-12-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076241304934
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items