Abstract：
The objective is to summarize the current use of artificial intelligence (AI) in obstetric ultrasound. PubMed, Cochrane Library, and ClinicalTrials.gov databases were searched using the following keywords \"neural networks\", OR \"artificial intelligence\", OR \"machine learning\", OR \"deep learning\", AND \"obstetrics\", OR \"obstetrical\", OR \"fetus\", OR \"foetus\", OR \"fetal\", OR \"foetal\", OR \"pregnancy\", or \"pregnant\", AND \"ultrasound\" from inception through May 2022. The search was limited to the English language. Studies were eligible for inclusion if they described the use of AI in obstetric ultrasound. Obstetric ultrasound was defined as the process of obtaining ultrasound images of a fetus, amniotic fluid, or placenta. AI was defined as the use of neural networks, machine learning, or deep learning methods. The authors\' search identified a total of 127 papers that fulfilled our inclusion criteria. The current uses of AI in obstetric ultrasound include first trimester pregnancy ultrasound, assessment of placenta, fetal biometry, fetal echocardiography, fetal neurosonography, assessment of fetal anatomy, and other uses including assessment of fetal lung maturity and screening for risk of adverse pregnancy outcomes. AI holds the potential to improve the ultrasound efficiency, pregnancy outcomes in low resource settings, detection of congenital malformations and prediction of adverse pregnancy outcomes.
摘要：
目的是总结目前人工智能（AI）在产科超声中的应用。PubMed,科克伦图书馆,使用以下关键字“神经网络”搜索ClinicalTrials.gov数据库，或“人工智能”，或“机器学习”，或“深度学习”，和“产科”，或“产科”，或“胎儿”，或“胎儿”，或“胎儿”，或“胎儿”，或“怀孕”，或“怀孕”，和“超声”从成立到2022年5月。搜索仅限于英语。如果研究描述了AI在产科超声中的使用，则有资格纳入研究。产科超声被定义为获得胎儿超声图像的过程，羊水,或胎盘。人工智能被定义为使用神经网络，机器学习,或深度学习方法。作者搜索确定了总共127篇符合我们纳入标准的论文。目前AI在产科超声中的用途包括妊娠早期超声，胎盘评估，胎儿生物测定,胎儿超声心动图,胎儿神经超声检查,胎儿解剖学评估，和其他用途，包括评估胎儿肺成熟度和筛查不良妊娠结局的风险。AI具有提高超声效率的潜力，低资源环境下的妊娠结局，先天性畸形的检测和不良妊娠结局的预测。
