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초록
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.
키워드
Mother; Fetus; Disease; Diagnosis; Artificial intelligence; GASTROESOPHAGEAL-REFLUX DISEASE; PRETERM BIRTH; STATISTICAL-MODELS; DIABETES-MELLITUS; RISK; CLASSIFICATION; PERIODONTITIS; ASSOCIATION; PREDICTION; DISORDERS
- 제목
- Artificial intelligence in obstetrics
- 저자
- Ahn, Ki Hoon; Lee, Kwang-Sig
- 발행일
- 2022-03
- 유형
- Review
- 권
- 65
- 호
- 2
- 페이지
- 113 ~ 124
- 언어
- ENG
- 출판사
- 대한산부인과학회
- 발행국가
- 대한민국
- 분량
- 12 페이지
- ISSN
- E 2287-8580
P 2287-8572