Artificial intelligence in obstetrics

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...

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Detalles Bibliográficos
Autores principales: Ahn, Ki Hoon, Lee, Kwang-Sig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Obstetrics and Gynecology 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942755/
https://www.ncbi.nlm.nih.gov/pubmed/34905872
http://dx.doi.org/10.5468/ogs.21234
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author Ahn, Ki Hoon
Lee, Kwang-Sig
author_facet Ahn, Ki Hoon
Lee, Kwang-Sig
author_sort Ahn, Ki Hoon
collection PubMed
description 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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spelling pubmed-89427552022-03-31 Artificial intelligence in obstetrics Ahn, Ki Hoon Lee, Kwang-Sig Obstet Gynecol Sci Review Article 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. Korean Society of Obstetrics and Gynecology 2022-03 2021-12-15 /pmc/articles/PMC8942755/ /pubmed/34905872 http://dx.doi.org/10.5468/ogs.21234 Text en Copyright © 2022 Korean Society of Obstetrics and Gynecology https://creativecommons.org/licenses/by-nc/3.0/Articles published in Obstet Gynecol Sci are open-access, distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Ahn, Ki Hoon
Lee, Kwang-Sig
Artificial intelligence in obstetrics
title Artificial intelligence in obstetrics
title_full Artificial intelligence in obstetrics
title_fullStr Artificial intelligence in obstetrics
title_full_unstemmed Artificial intelligence in obstetrics
title_short Artificial intelligence in obstetrics
title_sort artificial intelligence in obstetrics
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8942755/
https://www.ncbi.nlm.nih.gov/pubmed/34905872
http://dx.doi.org/10.5468/ogs.21234
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