ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence

The Envision project aims at developing artificial intelligence-based tools for supporting the treatment of critically ill COVID-19 patients in the intensive care unit. Twelve European hospitals participate in the collection of patient data for the development and validation of the artificial intel...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Alpo Olavi Värri, Antti Kallonen, Hannu Nieminen, Mark van Gils
Formato:	article
Lenguaje:	EN FI
Publicado:	Finnish Social and Health Informatics Association 2021
Materias:	COVID-19 artificial intelligence intensive care Computer applications to medicine. Medical informatics R858-859.7 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/76898243ccb84ff88d186b5e69c09a3c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:76898243ccb84ff88d186b5e69c09a3c
record_format	dspace
spelling	oai:doaj.org-article:76898243ccb84ff88d186b5e69c09a3c2021-11-11T16:06:49ZENVISION – Improve intensive care of COVID-19 patients with artificial intelligence10.23996/fjhw.1099291798-0798https://doaj.org/article/76898243ccb84ff88d186b5e69c09a3c2021-11-01T00:00:00Zhttps://journal.fi/finjehew/article/view/109929https://doaj.org/toc/1798-0798 The Envision project aims at developing artificial intelligence-based tools for supporting the treatment of critically ill COVID-19 patients in the intensive care unit. Twelve European hospitals participate in the collection of patient data for the development and validation of the artificial intelligence tools. Ten potential use cases have been identified as development targets. Data analysis and results from expert interviews are applied to define the clinically most relevant parameters and functional use cases to be used in providing decision support for the clinicians in the intensive care units for this patient group. The resulting artificial intelligence-based tool may be beneficial in the management of the next similar epidemics, as well. Alpo Olavi VärriAntti KallonenHannu NieminenMark van GilsFinnish Social and Health Informatics AssociationarticleCOVID-19artificial intelligenceintensive careComputer applications to medicine. Medical informaticsR858-859.7Public aspects of medicineRA1-1270ENFIFinnish Journal of eHealth and eWelfare, Vol 13, Iss 4 (2021)
institution	DOAJ
collection	DOAJ
language	EN FI
topic	COVID-19 artificial intelligence intensive care Computer applications to medicine. Medical informatics R858-859.7 Public aspects of medicine RA1-1270
spellingShingle	COVID-19 artificial intelligence intensive care Computer applications to medicine. Medical informatics R858-859.7 Public aspects of medicine RA1-1270 Alpo Olavi Värri Antti Kallonen Hannu Nieminen Mark van Gils ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence
description	The Envision project aims at developing artificial intelligence-based tools for supporting the treatment of critically ill COVID-19 patients in the intensive care unit. Twelve European hospitals participate in the collection of patient data for the development and validation of the artificial intelligence tools. Ten potential use cases have been identified as development targets. Data analysis and results from expert interviews are applied to define the clinically most relevant parameters and functional use cases to be used in providing decision support for the clinicians in the intensive care units for this patient group. The resulting artificial intelligence-based tool may be beneficial in the management of the next similar epidemics, as well.
format	article
author	Alpo Olavi Värri Antti Kallonen Hannu Nieminen Mark van Gils
author_facet	Alpo Olavi Värri Antti Kallonen Hannu Nieminen Mark van Gils
author_sort	Alpo Olavi Värri
title	ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence
title_short	ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence
title_full	ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence
title_fullStr	ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence
title_full_unstemmed	ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence
title_sort	envision – improve intensive care of covid-19 patients with artificial intelligence
publisher	Finnish Social and Health Informatics Association
publishDate	2021
url	https://doaj.org/article/76898243ccb84ff88d186b5e69c09a3c
work_keys_str_mv	AT alpoolavivarri envisionimproveintensivecareofcovid19patientswithartificialintelligence AT anttikallonen envisionimproveintensivecareofcovid19patientswithartificialintelligence AT hannunieminen envisionimproveintensivecareofcovid19patientswithartificialintelligence AT markvangils envisionimproveintensivecareofcovid19patientswithartificialintelligence
_version_	1718432422764216320

ENVISION – Improve intensive care of COVID-19 patients with artificial intelligence

Ejemplares similares