新医学2025，Vol.56Issue(7)：629-637,9.DOI:10.12464/j.issn.0253-9802.2025-0105
多模态超声及人工智能用于足月妊娠引产效果的预测价值
Predictive value of multimodal ultrasound and artificial intelligence in predicting the effect of induction of labor in full term pregnancy
摘要
Abstract
Induction of labor at full term(IOL)is a commonly used clinical intervention in obstetrics for managing high-risk pregnancies.It primarily involves pharmacological or mechanical methods,such as balloon catheters,to artificially initiate labor,aiming to reduce adverse maternal and neonatal outcomes.One of the primary reasons for IOL failure is the immaturity of the cervix.Although traditional Bishop score has been widely used for assessing cervical maturity,its subjective nature limits its ability to provide accurate predictions.In contrast,two-dimensional and three-dimensional ultrasound measurements have demonstrated higher predictive value.Furthermore,the application of machine learning and deep learning techniques in ultrasound image analysis has significantly enhanced the accuracy of predicting cervical maturity and IOL outcomes.With the rapid advancement of ultrasound technology,multimodal ultrasound techniques have become essential tools for evaluating cervical status and predicting the success of IOL.This review systematically summarizes recent progress in the application of multimodal ultrasound and artificial intelligence techniques for predicting delivery outcomes and timing in IOL at full term,providing a more reliable theoretical foundation and practical reference for clinical diagnosis.关键词
足月引产/多模态超声技术/宫颈成熟度/人工智能/预测模型Key words
Induction of labor at full term/Multimodal ultrasound technology/Cervical maturity/Artificial intelligence/Predictive models引用本文复制引用
罗颖欣,陈洁莹,许晶莹,黄泽萍..多模态超声及人工智能用于足月妊娠引产效果的预测价值[J].新医学,2025,56(7):629-637,9.基金项目
广东省自然科学基金(2022A1515012027) （2022A1515012027）
