Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.

Journal: International journal of computer assisted radiology and surgery
Published Date: Mar 30, 2016

Abstract

PURPOSE: Computer assistance is increasingly common in surgery. However, the amount of information is bound to overload processing abilities of surgeons. We propose methods to recognize the current phase of a surgery for context-aware information filtering. The purpose is to select the most suitable subset of information for surgical situations which require special assistance.

Authors

  • Darko Katić
    Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany. katic@kit.edu.
  • Jürgen Schuck
    Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
  • Anna-Laura Wekerle
    Department of General, Abdominal and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany.
  • Hannes Kenngott
    Department of General, Abdominal and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany.
  • Beat Peter Müller-Stich
    Department of General, Abdominal and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany.
  • Rüdiger Dillmann
    Institute for Anthropomatics and Robotics (IAR), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
  • Stefanie Speidel
    Division of Translational Surgical Oncology, National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany.

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