A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS
Published Date: Dec 30, 2021

Abstract

BACKGROUND: From traditional open surgery to laparoscopic surgery and robot-assisted surgery, advances in robotics, machine learning, and imaging are pushing the surgical approach to-wards better clinical outcomes. Pre-clinical and clinical evidence suggests that automation may standardise techniques, increase efficiency, and reduce clinical complications.

Authors

  • Jinpei Han
    Hamlyn Centre for Robotic Surgery and Artificial Intelligence, Imperial College London, London, UK.
  • Joseph Davids
    Department of Surgery and Cancer, Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom; Imperial College Healthcare NHS Trust, St. Mary's Praed St., Paddington, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
  • Hutan Ashrafian
    Institute of Global Health Innovation, Imperial College London, London, United Kingdom.
  • Ara Darzi
    Imperial College London London UK.
  • Daniel S Elson
    The Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK; Department of Surgery and Cancer, Imperial College London, London, UK. Electronic address: daniel.elson@imperial.ac.uk.
  • Mikael Sodergren
    Hamlyn Centre for Robotic Surgery and Artificial Intelligence, Imperial College London, London, UK.

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