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@ARTICLE{Fritsch:907332,
      author       = {Fritsch, Sebastian and Maassen, Oliver and Riedel, Morris},
      title        = {{K}ünstliche {I}ntelligenz: {I}nfrastrukturen und
                      {V}oraussetzungen auf europäischer {E}bene},
      journal      = {Anästhesiologie, Intensivmedizin, Notfallmedizin,
                      Schmerztherapie},
      volume       = {57},
      number       = {03},
      issn         = {0174-1837},
      address      = {Stuttgart [u.a.]},
      publisher    = {Thieme},
      reportid     = {FZJ-2022-01969},
      pages        = {172 - 184},
      year         = {2022},
      abstract     = {The application of artificial intelligence (AI) is often
                      associated with the use of large amounts of data for the
                      construction of AI models and algorithms. This data should
                      ideally comply with the FAIR Data principles, i.e. being
                      findable, accessible, interoperable and reusable. However,
                      the handling of health data poses a particular challenge in
                      this context. In this article, we highlight the challenges
                      of the data usage for AI in medicine using the example of
                      anaesthesia and intensive care medicine. We discuss the
                      current situation but also the obstacles for a wider
                      application of AI in medicine in Europe and give suggestions
                      how to solve the different issues. The article covers
                      different subjects like data protection, research data
                      infrastructures and approval of medical products. Finally,
                      this article shows how it can nevertheless be possible to
                      establish a secure and at the same time effective handling
                      of data for use in AI at the European level despite its
                      unneglectable difficulties.},
      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       = {35320840},
      UT           = {WOS:000821297100003},
      doi          = {10.1055/a-1423-8052},
      url          = {https://juser.fz-juelich.de/record/907332},
}