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@ARTICLE{Kerth:1049064,
      author       = {Kerth, Janna-Lina and Bischops, Anne Christine and
                      Hagemeister, Maurus and Reinhart, Lisa and Konrad, Kerstin
                      and Heinrichs, Bert and Meissner, Thomas},
      title        = {{K}ünstliche {I}ntelligenz in der {G}esundheitsvorsorge
                      von {K}indern und {J}ugendlichen –
                      {A}nwendungsmöglichkeiten und {A}kzeptanz - {A}rtificial
                      intelligence in preventive medicine for children and
                      adolescents—applications and acceptance},
      journal      = {Bundesgesundheitsblatt, Gesundheitsforschung,
                      Gesundheitsschutz},
      volume       = {68},
      number       = {8},
      issn         = {0007-5914},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {FZJ-2025-05157},
      pages        = {907 - 914},
      year         = {2025},
      abstract     = {The use of artificial intelligence (AI) in pediatric and
                      adolescent medicine offers numerous possibilities,
                      particularly in the prevention of chronic diseases.
                      AI-powered applications such as machine learning for the
                      analysis of speech or movement patterns can, for example,
                      help in the early diagnosis of autism spectrum disorders or
                      motor development delays. In addition, AI-based systems
                      support the treatment of children with type 1 diabetes
                      through automated insulin dosing (AID) systems.AI enables
                      more accurate diagnoses and personalized therapeutic
                      approaches and helps relieve the burden on medical
                      personnel. At the same time, there are challenges associated
                      with the use of AI, which is why only a few applications
                      have so far become part of routine clinical practice. These
                      challenges include the protection of sensitive data and the
                      respect for informational self-determination, ensuring
                      freedom from discrimination, algorithmic transparency, and
                      the acceptance of AI by all involved groups such as
                      children, adolescents, parents, and medical professionals.
                      All stakeholders express concerns about potential
                      misjudgments, the loss of personal interactions, and the
                      possible commercial use of data. Parents and professionals
                      emphasize the importance of clear communication, shared
                      decision-making, and training to promote better
                      understanding. Moreover, there is often a lack of
                      structured, high-quality, large datasets in compatible
                      formats to effectively train AI systems.A sustainable
                      integration of AI in pediatric and adolescent medicine
                      requires large-scale clinical studies, access to
                      high-quality datasets, and a nuanced analysis of the ethical
                      and social implications.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5255 - Neuroethics and Ethics of Information (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5255},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1007/s00103-025-04096-4},
      url          = {https://juser.fz-juelich.de/record/1049064},
}