Cargando…

Artificial intelligence in perioperative medicine: a narrative review

Recent advancements in artificial intelligence (AI) techniques have enabled the development of accurate prediction models using clinical big data. AI models for perioperative risk stratification, intraoperative event prediction, biosignal analyses, and intensive care medicine have been developed in...

Descripción completa

Detalles Bibliográficos
Autores principales: Yoon, Hyun-Kyu, Yang, Hyun-Lim, Jung, Chul-Woo, Lee, Hyung-Chul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Anesthesiologists 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171545/
https://www.ncbi.nlm.nih.gov/pubmed/35345305
http://dx.doi.org/10.4097/kja.22157
_version_ 1784721691224571904
author Yoon, Hyun-Kyu
Yang, Hyun-Lim
Jung, Chul-Woo
Lee, Hyung-Chul
author_facet Yoon, Hyun-Kyu
Yang, Hyun-Lim
Jung, Chul-Woo
Lee, Hyung-Chul
author_sort Yoon, Hyun-Kyu
collection PubMed
description Recent advancements in artificial intelligence (AI) techniques have enabled the development of accurate prediction models using clinical big data. AI models for perioperative risk stratification, intraoperative event prediction, biosignal analyses, and intensive care medicine have been developed in the field of perioperative medicine. Some of these models have been validated using external datasets and randomized controlled trials. Once these models are implemented in electronic health record systems or software medical devices, they could help anesthesiologists improve clinical outcomes by accurately predicting complications and suggesting optimal treatment strategies in real-time. This review provides an overview of the AI techniques used in perioperative medicine and a summary of the studies that have been published using these techniques. Understanding these techniques will aid in their appropriate application in clinical practice.
format Online
Article
Text
id pubmed-9171545
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Korean Society of Anesthesiologists
record_format MEDLINE/PubMed
spelling pubmed-91715452022-06-14 Artificial intelligence in perioperative medicine: a narrative review Yoon, Hyun-Kyu Yang, Hyun-Lim Jung, Chul-Woo Lee, Hyung-Chul Korean J Anesthesiol Review Article Recent advancements in artificial intelligence (AI) techniques have enabled the development of accurate prediction models using clinical big data. AI models for perioperative risk stratification, intraoperative event prediction, biosignal analyses, and intensive care medicine have been developed in the field of perioperative medicine. Some of these models have been validated using external datasets and randomized controlled trials. Once these models are implemented in electronic health record systems or software medical devices, they could help anesthesiologists improve clinical outcomes by accurately predicting complications and suggesting optimal treatment strategies in real-time. This review provides an overview of the AI techniques used in perioperative medicine and a summary of the studies that have been published using these techniques. Understanding these techniques will aid in their appropriate application in clinical practice. Korean Society of Anesthesiologists 2022-06 2022-03-29 /pmc/articles/PMC9171545/ /pubmed/35345305 http://dx.doi.org/10.4097/kja.22157 Text en Copyright © The Korean Society of Anesthesiologists, 2022 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 non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Yoon, Hyun-Kyu
Yang, Hyun-Lim
Jung, Chul-Woo
Lee, Hyung-Chul
Artificial intelligence in perioperative medicine: a narrative review
title Artificial intelligence in perioperative medicine: a narrative review
title_full Artificial intelligence in perioperative medicine: a narrative review
title_fullStr Artificial intelligence in perioperative medicine: a narrative review
title_full_unstemmed Artificial intelligence in perioperative medicine: a narrative review
title_short Artificial intelligence in perioperative medicine: a narrative review
title_sort artificial intelligence in perioperative medicine: a narrative review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171545/
https://www.ncbi.nlm.nih.gov/pubmed/35345305
http://dx.doi.org/10.4097/kja.22157
work_keys_str_mv AT yoonhyunkyu artificialintelligenceinperioperativemedicineanarrativereview
AT yanghyunlim artificialintelligenceinperioperativemedicineanarrativereview
AT jungchulwoo artificialintelligenceinperioperativemedicineanarrativereview
AT leehyungchul artificialintelligenceinperioperativemedicineanarrativereview