Multicentric exploration of tool annotation in robotic surgery: lessons learned when starting a surgical artificial intelligence project.

Journal: Surgical endoscopy
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) holds tremendous potential to reduce surgical risks and improve surgical assessment. Machine learning, a subfield of AI, can be used to analyze surgical video and imaging data. Manual annotations provide veracity about the desired target features. Yet, methodological annotation explorations are limited to date. Here, we provide an exploratory analysis of the requirements and methods of instrument annotation in a multi-institutional team from two specialized AI centers and compile our lessons learned.

Authors

  • Pieter De Backer
    ORSI Academy Melle Belgium.
  • Jennifer A Eckhoff
    - Harvard Medical School, Surgical Artificial Intelligence and Innovation Laboratory, Massachusetts General Hospital - Boston - MA - Estados Unidos.
  • Jente Simoens
    ORSI Academy Melle Belgium.
  • Dolores T Müller
    Robotic Innovation Laboratory, Department of General, Visceral, Tumor and Transplantsurgery, University Hospital Cologne, Cologne, Germany.
  • Charlotte Allaeys
    Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
  • Heleen Creemers
    Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
  • Amélie Hallemeesch
    Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
  • Kenzo Mestdagh
    Department of Human Structure and Repair, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
  • Charles Van Praet
    Department of Urology Ghent University Hospital Ghent Belgium.
  • Charlotte Debbaut
    IBiTech-Biommeda, Faculty of Engineering and Architecture, and CRIG Ghent University Ghent Belgium.
  • Karel Decaestecker
    Faculty of Medicine and Health Sciences, Department of Human Structure and Repair Ghent University Ghent Belgium.
  • Christiane J Bruns
    Department of Surgery, University of Cologne, Kerpener Str. 62, Cologne, 50937, Germany.
  • Ozanan Meireles
    - Harvard Medical School, Surgical Artificial Intelligence and Innovation Laboratory, Massachusetts General Hospital - Boston - MA - Estados Unidos.
  • Alexandre Mottrie
    ORSI Academy Melle Belgium.
  • Hans F Fuchs
    Department of Surgery, University of Cologne, Kerpener Str. 62, Cologne, 50937, Germany. hans-fuchs@freenet.de.