From the Dexterous Surgical Skill to the Battlefield-A Robotics Exploratory Study.

Journal: Military medicine
Published Date:

Abstract

INTRODUCTION: Short response time is critical for future military medical operations in austere settings or remote areas. Such effective patient care at the point of injury can greatly benefit from the integration of semi-autonomous robotic systems. To achieve autonomy, robots would require massive libraries of maneuvers collected with the goal of training machine learning algorithms. Although this is attainable in controlled settings, obtaining surgical data in austere settings can be difficult. Hence, in this article, we present the Dexterous Surgical Skill (DESK) database for knowledge transfer between robots. The peg transfer task was selected as it is one of the six main tasks of laparoscopic training. In addition, we provide a machine learning framework to evaluate novel transfer learning methodologies on this database.

Authors

  • Glebys T Gonzalez
    Department of Industrial Engineering, Purdue University, West Lafayette, IN 47906, USA.
  • Upinder Kaur
    Department of Industrial Engineering, Purdue University, West Lafayette, IN 47906, USA.
  • Masudur Rahman
    Department of Industrial Engineering, Purdue University, West Lafayette, IN 47906, USA.
  • Vishnunandan Venkatesh
    Department of Industrial Engineering, Purdue University, West Lafayette, IN 47906, USA.
  • Natalia Sanchez
    Department of Industrial Engineering, Purdue University, West Lafayette, IN 47906, USA.
  • Gregory Hager
    Radiology Artificial Intelligence Lab (RAIL), Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of engineering, Baltimore, MD, USA.
  • Yexiang Xue
    Department of Computer Science, Cornell University , Ithaca, New York 14850, United States.
  • Richard Voyles
    Department of Industrial Engineering, Purdue University, West Lafayette, IN 47906, USA.
  • Juan Wachs
    From the City of Edmonton, Fire Rescue, Edmonton, AB (McKee); the Tele-Mentored Ultrasound Supported Medical Interventions (TMUSMI) Research Group Collaborators (add city) (McKee, LaPorta, Wachs, Kirkpatrick); the Regional Trauma Services Foothills Medical Centre, Calgary, AB (McKee, Kirkpatrick); the Canadian Forces Health Services (add city) (McKee); the Arapahoe County Sheriff’s Office, Denver, Colorado, USA (Knudsen); the Denver South Medic Fire Rescue, Denver, Colorado (Shelton); the Rocky Vista University, Rocky Vista, Colorado (LaPorta); the James Purdue University, West Lafayette, Indiana (Wachs); the Department of Surgery, University of Calgary, Calgary, AB (Kirkpatrick); and the Department of Critical Care Medicine, University of Calgary, Calgary, AB (Kirkpatrick).