Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients

• Mikkel Bonde,

  Roles Conceptualization, Data curation, Investigation, Methodology, Writing – original draft

  Affiliation Dep. of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

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• Alexander Bonde,

  Roles Conceptualization, Data curation, Investigation, Methodology, Software

  Affiliation Dep. of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

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• Haytham Kaafarani,

  Roles Formal analysis, Supervision, Validation

  Affiliation Div. of Trauma, Emergency Surgery and Surgical Critical Care, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, Unites States of America

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• Andreas Millarch,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Software

  Affiliation Dep. of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark

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• Martin Sillesen

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration

  * E-mail: Martin.Sillesen@regionh.dk

  Affiliations Dep. of Organ Surgery and Transplantation, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark, Center for Surgical Translational and Artificial Intelligence Research, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark, Department of Clinical Medicine, University of Copenhagen Medical School, København, Denmark

  https://orcid.org/0000-0001-9494-5475

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