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@ARTICLE{Reinke:303010,
      author       = {A. Reinke$^*$},
      title        = {{V}alidation of artificial intelligence algorithms for the
                      surgical practice. [{V}alidierung von künstliche
                      {I}ntelligenz-{A}lgorithmen für die chirurgische
                      {P}raxis.]},
      journal      = {Die Chirurgie},
      volume       = {96},
      number       = {11},
      issn         = {2731-6971},
      address      = {[Berlin]},
      publisher    = {Springer Medizin Verlag GmbH},
      reportid     = {DKFZ-2025-01457},
      pages        = {913-917},
      year         = {2025},
      note         = {#LA:E130# / 2025 Nov;96(11):913-917},
      abstract     = {Artificial intelligence (AI) is increasingly being used in
                      surgery; however, the validation of such systems is often
                      methodologically insufficient.Which validation issues arise
                      in surgical AI and what requirements can be derived for
                      clinically meaningful validation strategies?Metric-related
                      pitfalls reported in the literature were analyzed, combined
                      with insights from the interdisciplinary consensus process
                      'metrics reloaded' and its ongoing extension to surgical
                      applications.Recurring weaknesses are observed at the levels
                      of data, metrics and reporting. The lack of consideration of
                      temporal structures and aggregation in video data is
                      particularly critical.A structured, clinically grounded
                      validation is essential for the safe use of surgical AI. The
                      metrics reloaded procedure is currently being adapted to
                      address surgery-specific requirements.},
      subtyp        = {Review Article},
      keywords     = {Assessment methods (Other) / Metrics (Other) / Metrics
                      reloaded (Other) / Surgical video analysis (Other) / Video
                      data (Other)},
      cin          = {E130},
      ddc          = {610},
      cid          = {I:(DE-He78)E130-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40643685},
      doi          = {10.1007/s00104-025-02348-2},
      url          = {https://inrepo02.dkfz.de/record/303010},
}