University of Oulu

Jansson, M., Rubio, J., Gavaldà, R., & Rello, J. (2020). Artificial Intelligence for clinical decision support in Critical Care, required and accelerated by COVID-19. Anaesthesia Critical Care & Pain Medicine, 39(6), 691–693.

Artificial Intelligence for clinical decision support in critical care, required and accelerated by COVID-19

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Author: Jansson, Miia1; Rubio, Juanjo2; Gavaldà, Ricard3;
Organizations: 1Research Group of Medical Imaging, Physics and Technology, University of Oulu, Oulu University Hospital, Oulu, Finland
2Biomedical Engineer, Navarra, synbio, GPwrite, Spain
3Amalfi Analytics. On Leave from Department of Computer Science, Universitat Politècnica de Catalunya, Spain
4Vall d’Hebron Institute of Research & Centro de Investigacion Biomedica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Barcelona, Spain
5Clinical Research Department, CHU Nîmes, University Montpellier-Nîmes, Nîmes, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Elsevier, 2020
Publish Date: 2021-10-21
Series: Anaesthesia critical care & pain medicine
ISSN: 2352-5568
ISSN-L: 2352-5568
Volume: 39
Issue: 6
Pages: 691 - 693
DOI: 10.1016/j.accpm.2020.09.010
Type of Publication: B1 Journal article
Field of Science: 3126 Surgery, anesthesiology, intensive care, radiology
Copyright information: © 2020 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. This manuscript version is made available under the CC-BY-NC-ND 4.0 license