Ahn Ki Hoon, Lee Kwang-Sig
Department of Obstetrics and Gynecology, Korea University Anam Hospital, Seoul, Korea.
AI Center, Korea University Anam Hospital, Seoul, Korea.
Obstet Gynecol Sci. 2022 Mar;65(2):113-124. doi: 10.5468/ogs.21234. Epub 2021 Dec 15.
This study reviews recent advances on the application of artificial intelligence for the early diagnosis of various maternal-fetal conditions such as preterm birth and abnormal fetal growth. It is found in this study that various machine learning methods have been successfully employed for different kinds of data capture with regard to early diagnosis of maternal-fetal conditions. With the more popular use of artificial intelligence, ethical issues should also be considered accordingly.
本研究回顾了人工智能在早产和胎儿生长异常等各种母胎疾病早期诊断中的应用进展。本研究发现,各种机器学习方法已成功应用于母胎疾病早期诊断的不同类型数据采集。随着人工智能的更广泛应用,伦理问题也应相应地予以考虑。