% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Fritsch:907333,
      author       = {Fritsch, Sebastian and Sharafutdinov, Konstantin and
                      Schuppert, Andreas and Bickenbach, Johannes},
      title        = {{N}utzung von künstlicher {I}ntelligenz zur {B}ekämpfung
                      der {COVID}-19-{P}andemie},
      journal      = {Anästhesiologie, Intensivmedizin, Notfallmedizin,
                      Schmerztherapie},
      volume       = {57},
      number       = {03},
      issn         = {0174-1837},
      address      = {Stuttgart [u.a.]},
      publisher    = {Thieme},
      reportid     = {FZJ-2022-01970},
      pages        = {185 - 197},
      year         = {2022},
      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.},
      cin          = {JSC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / SMITH -
                      Medizininformatik-Konsortium - Beitrag Forschungszentrum
                      Jülich (01ZZ1803M)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(BMBF)01ZZ1803M},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:35320841},
      UT           = {WOS:000821297100004},
      doi          = {10.1055/a-1423-8039},
      url          = {https://juser.fz-juelich.de/record/907333},
}