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Artificial intelligence in obstetrics
- Authors
- Ahn, Ki Hoon; Lee, Kwang-Sig
- Issue Date
- Mar-2022
- Publisher
- 대한산부인과학회
- Keywords
- Mother; Fetus; Disease; Diagnosis; Artificial intelligence
- Citation
- Obstetrics & Gynecology Science, v.65, no.2, pp 113 - 124
- Pages
- 12
- Indexed
- KCI
- Journal Title
- Obstetrics & Gynecology Science
- Volume
- 65
- Number
- 2
- Start Page
- 113
- End Page
- 124
- ISSN
- 2287-8572
2287-8580
- Abstract
- 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.
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Related Researcher
- Ahn, Ki Hoon
- Anam Hospital (Department of Obstetrics and Gynecology, Anam Hospital)