Journal Article

FZJ-2022-01970

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Nutzung von künstlicher Intelligenz zur Bekämpfung der COVID-19-Pandemie

Fritsch, S. (Corresponding author)FZJ* ; Sharafutdinov, K. ; Schuppert, A. ; Bickenbach, J.

2022
Thieme Stuttgart [u.a.]

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Please use a persistent id in citations: http://hdl.handle.net/2128/31066  doi:10.1055/a-1423-8039

Abstract: The COVID-19 pandemic is a global health emergency of historic dimension. In this situation, researchers worldwide wanted to help manage the pandemic by using artificial intelligence (AI). This narrative review aims to describe the usage of AI in the combat against COVID-19. The addressed aspects encompass AI algorithms for analysis of thoracic X-rays or CTs, prediction models for severity and outcome of the disease, AI applications in development of new drugs and vaccines as well as forecasting models for spread of the virus. The review shows, which approaches were pursued, and which were successful.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. SMITH - Medizininformatik-Konsortium - Beitrag Forschungszentrum Jülich (01ZZ1803M) (01ZZ1803M)

Appears in the scientific report 2022

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Database coverage:
; ; Clarivate Analytics Master Journal List ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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