SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education).

Journal: Surgical endoscopy
Published Date: Jul 29, 2023

Abstract

BACKGROUND: Surgery generates a vast amount of data from each procedure. Particularly video data provides significant value for surgical research, clinical outcome assessment, quality control, and education. The data lifecycle is influenced by various factors, including data structure, acquisition, storage, and sharing; data use and exploration, and finally data governance, which encompasses all ethical and legal regulations associated with the data. There is a universal need among stakeholders in surgical data science to establish standardized frameworks that address all aspects of this lifecycle to ensure data quality and purpose.

Authors

  • Jennifer A Eckhoff
    - Harvard Medical School, Surgical Artificial Intelligence and Innovation Laboratory, Massachusetts General Hospital - Boston - MA - Estados Unidos.
  • Guy Rosman
    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, MA.
  • Maria S Altieri
    Department of Surgery, East Carolina University, Greenville, USA.
  • Stefanie Speidel
    Division of Translational Surgical Oncology, National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany.
  • Danail Stoyanov
    University College London, London, UK.
  • Mehran Anvari
    McMaster University, Department of Surgery, Hamilton, Ontario, L8N 4A6, Canada.
  • Lena Meier-Hein
    German Cancer Research Center, Deutsches Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
  • Keno März
    German Cancer Research Center (DKFZ), Computer Assisted Medical Interventions, Heidelberg, Germany.
  • Pierre Jannin
  • Carla Pugh
    Department of Surgery, Stanford University School of Medicine, Stanford, California. Electronic address: cpugh@stanford.edu.
  • Martin Wagner
    Department of Biology, Norwegian University of Science and Technology, 5 Høgskoleringen, 7491 Trondheim, Norway. Electronic address: martin.wagner@ntnu.no.
  • Elan Witkowski
  • Paresh Shaw
    New York University Langone, 530 1St Ave. Floor 12, New York, NY, 10016, USA.
  • Amin Madani
    Department of Surgery, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY 10032, USA.
  • Yutong Ban
    Surgical Artificial Intelligence and Innovation Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, MA; Distributed Robotics Laboratory, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA.
  • Thomas Ward
    Health Economics and Outcomes Research Ltd, Cardiff, UK.
  • Filippo Filicori
    Intraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Northwell Health, Lenox Hill Hospital, 186 E. 76th Street, 1st Floor, New York, NY, 10021, USA.
  • Nicolas Padoy
    IHU Strasbourg, Strasbourg, France.
  • Mark Talamini
    Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
  • Ozanan R Meireles
    Department of Surgery, Massachusetts General Hospital, Boston, MA.

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