Cargando…
Applications of artificial intelligence in obstetrics
Artificial intelligence, which has been applied as an innovative technology in multiple fields of healthcare, analyzes large amounts of data to assist in disease prediction, prevention, and diagnosis, as well as in patient monitoring. In obstetrics, artificial intelligence has been actively applied...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Ultrasound in Medicine
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816710/ https://www.ncbi.nlm.nih.gov/pubmed/36588179 http://dx.doi.org/10.14366/usg.22063 |
_version_ | 1784864598228205568 |
---|---|
author | Kim, Ho Yeon Cho, Geum Joon Kwon, Han Sung |
author_facet | Kim, Ho Yeon Cho, Geum Joon Kwon, Han Sung |
author_sort | Kim, Ho Yeon |
collection | PubMed |
description | Artificial intelligence, which has been applied as an innovative technology in multiple fields of healthcare, analyzes large amounts of data to assist in disease prediction, prevention, and diagnosis, as well as in patient monitoring. In obstetrics, artificial intelligence has been actively applied and integrated into our daily medical practice. This review provides an overview of artificial intelligence systems currently used for obstetric diagnostic purposes, such as fetal cardiotocography, ultrasonography, and magnetic resonance imaging, and demonstrates how these methods have been developed and clinically applied. |
format | Online Article Text |
id | pubmed-9816710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korean Society of Ultrasound in Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-98167102023-01-11 Applications of artificial intelligence in obstetrics Kim, Ho Yeon Cho, Geum Joon Kwon, Han Sung Ultrasonography Review Article Artificial intelligence, which has been applied as an innovative technology in multiple fields of healthcare, analyzes large amounts of data to assist in disease prediction, prevention, and diagnosis, as well as in patient monitoring. In obstetrics, artificial intelligence has been actively applied and integrated into our daily medical practice. This review provides an overview of artificial intelligence systems currently used for obstetric diagnostic purposes, such as fetal cardiotocography, ultrasonography, and magnetic resonance imaging, and demonstrates how these methods have been developed and clinically applied. Korean Society of Ultrasound in Medicine 2023-01 2022-07-20 /pmc/articles/PMC9816710/ /pubmed/36588179 http://dx.doi.org/10.14366/usg.22063 Text en Copyright © 2023 Korean Society of Ultrasound in Medicine (KSUM) https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Kim, Ho Yeon Cho, Geum Joon Kwon, Han Sung Applications of artificial intelligence in obstetrics |
title | Applications of artificial intelligence in obstetrics |
title_full | Applications of artificial intelligence in obstetrics |
title_fullStr | Applications of artificial intelligence in obstetrics |
title_full_unstemmed | Applications of artificial intelligence in obstetrics |
title_short | Applications of artificial intelligence in obstetrics |
title_sort | applications of artificial intelligence in obstetrics |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816710/ https://www.ncbi.nlm.nih.gov/pubmed/36588179 http://dx.doi.org/10.14366/usg.22063 |
work_keys_str_mv | AT kimhoyeon applicationsofartificialintelligenceinobstetrics AT chogeumjoon applicationsofartificialintelligenceinobstetrics AT kwonhansung applicationsofartificialintelligenceinobstetrics |