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@ARTICLE{Duwe:309609,
      author       = {G. Duwe and K. Moench and V. Kauth and M. Angeloni and J.
                      Eckhoff and M. Görtz$^*$ and S. Hoefert and T. D. Kocar and
                      L. Kollitsch and S. Mehralivand and D. Mercier and J.
                      Rudolph and J. Rueckel and R. Schönhof and M. Sondermann
                      and C. von Klot and A. Zamzow and J. P. Struck and H.
                      Borgmann},
      title        = {{K}ünstliche {I}ntelligenz in chirurgischen {D}isziplinen:
                      {E}insatz, {N}utzen und {P}otenzial – ein
                      {D}elphi-{E}xpertenkonsensus.},
      journal      = {Die Urologie},
      volume       = {nn},
      issn         = {2731-7064},
      address      = {New York]},
      publisher    = {Springer Medizin},
      reportid     = {DKFZ-2026-00259},
      pages        = {nn},
      year         = {2026},
      note         = {epub},
      abstract     = {Artificial intelligence (AI) in surgical disciplines has
                      the potential to support all areas of patient care, with the
                      goal of improving treatment quality and patient safety. A
                      group of multidisciplinary experts discussed the current
                      situation as well as steps required to successfully
                      integrate AI into surgical disciplines in the context of a
                      consensus conference at the second Digital Health Summit
                      (Brandenburg an der Havel, Germany) in August 2024.A
                      modified Delphi procedure was performed with 16
                      multidisciplinary physicians and scientists on the topic of
                      AI in surgical disciplines and beyond. In two online
                      meetings with subsequent Delphi survey rounds (LimeSurvey)
                      and a final hybrid meeting, individual statements were
                      contributed, discussed, and consented by all 16 participants
                      based on current national clinical guidelines.From a total
                      of 103 submitted statements, 36 statements on reality (n =
                      12), utopia (n = 13), and opportunities for digital
                      transformation (n = 11) were consented after discussion and
                      modification. We achieved a consensus of at least $75\%$ for
                      all the statements presented, with six of the statements
                      achieving a strong consensus of $100\%$ agreement.The
                      consensus statements show the great potential of AI for
                      improving patient care in surgical disciplines. Challenges
                      such as the lack of digitalization structures and legal
                      frameworks were identified, and practice-oriented proposals
                      for implementation were developed. The need for
                      multidisciplinary cooperation between medical professionals,
                      politics, and industry was emphasized in order to facilitate
                      the German healthcare system remaining competitive for the
                      future, both nationally and internationally.},
      keywords     = {Artificial intelligence (Other) / Delphi consensus
                      conference (Other) / Digitalization (Other) / Legal
                      framework (Other) / Surgery (Other)},
      cin          = {E250},
      ddc          = {610},
      cid          = {I:(DE-He78)E250-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41615435},
      doi          = {10.1007/s00120-026-02778-8},
      url          = {https://inrepo02.dkfz.de/record/309609},
}