Analysis of the Application Value of Artificial Intelligence Technology to Evaluate Placental Volume in Early Pregnancy
Zhang Yun
Ding Xia
Li Gang
Gong Jundan
Ding Wenpin
Xu Cheng
Abstract：OBJECTIVE To investigate the application of artificial intelligence(AI)in measuring placental volume by comparing placental volume measured by three-dimensional ultrasonography with placental volume automatically identified and calculated by artificial intelligence(AI).METHODS The placental images of pregnant women at 11～13+6 weeks of gestation were selected as the research object,and were divided into round placenta group and non-round placenta group according to different placenta shapes.After collecting the images with three-dimensional volume probe,the placental plane was manually delineated and the placental volume was measured by sonographers.At the same time,after learning the three-dimensional ultrasound images by artificial intelligence technology,Unet was used as the backbone network to segment the placental images to calculate the placental volume.The two methods were compared for differences in the ability to measure placental volume and time consumption.RESULTS There was no significant difference in the volume of placenta measured by the two methods between the round placenta group and the non-round placenta group(P＞0.05).In terms of measurement time,the time taken by the artificial intelligence method to measure the placental volume of the round placenta group and the non-round placenta group was(22.78±6.90)s and(31.17±6.10)s,respectively,which were smaller than the time taken by the three-dimensional ultrasound imaging method,and the difference between the two groups was statistically significant(t=20.79,19.54,P＜0.01).CONCLUSION There is no significant difference between the measurement of placental volume by artificial intelligence method and that by three-dimensional ultrasound,and the work efficiency of artificial intelligence is significantly better than that of doctors'manual sketch,which can be used as an efficient tool to measure placental volume in early pregnancy and provide a reference for early clinical identification and screening of fetal growth restriction.
Keywords：fetal growth restrictionearly pregnancyartificial intelligenceplacental volumeultrasound imaging
Publication Date：2024-03-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 56-59 )