Intraoperative surgery room management: A deep learning perspective.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS
Published Date:

Abstract

PURPOSE: The current study aimed to systematically review the literature addressing the use of deep learning (DL) methods in intraoperative surgery applications, focusing on the data collection, the objectives of these tools and, more technically, the DL-based paradigms utilized.

Authors

  • Leonardo Tanzi
    DIGEP, Polytechnic University of Turin, Torino, Italy.
  • Pietro Piazzolla
    Department of Management and Production Engineer, Politechnic University of Turin, Turin, Italy.
  • Enrico Vezzetti
    Department of Management and Production Engineer, Politechnic University of Turin, Turin, Italy.