妊娠期糖尿病正呈逐渐上升,并且发病年龄呈年轻化趋势,给母婴健康带来严重的威胁与挑战。胎盘是孕期联系母体与胎儿的重要器官,对妊娠的维持和妊娠结局至关重要,胎盘发育良好,是胎儿宫内正常发育的前提,胎盘功能不全是多种不良妊娠的病理基础。因此,妊娠期胎盘微环境逐渐成为近期研究各种类型母婴并发症机制的热点,超声检查作为常规产科检查手段,也是评估胎盘功能的首选检查方法,而单一超声参数评价胎盘功能有一定局限性,因此本文就多模态超声技术联合人工智能在妊娠期糖尿病胎盘功能的研究进展进行探讨并予以综述。Gestational diabetes is gradually increasing, and the age of onset is showing a trend of younger age, which poses a serious threat and challenge to the health of mothers and infants. The placenta is an important organ that connects the mother and the fetus during pregnancy. It is crucial to the maintenance of pregnancy and the outcome of pregnancy. A well-developed placenta is a prerequisite for normal intrauterine development of the fetus. Placental insufficiency is the pathological basis of many adverse pregnancies. Therefore, the placental microenvironment during pregnancy has gradually become a hot spot for recent research on the mechanisms of various types of maternal and infant complications. Ultrasound examination, as a routine obstetric examination method, is also the preferred examination method for evaluating placental function. However, there are certain limitations in evaluating placental function with a single ultrasound parameter. Therefore, this article discusses and reviews the research progress of multimodal ultrasound technology combined with artificial intelligence in the placental function of gestational diabetes.
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