Artificial intelligence-enhanced intraoperative neurosurgical workflow: current knowledge and future perspectives.

Journal: Journal of neurosurgical sciences
Published Date: Sep 21, 2021

Abstract

INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) augment decision-making processes and productivity by supporting surgeons over a range of clinical activities: from diagnosis and preoperative planning to intraoperative surgical assistance. We reviewed the literature to identify current AI platforms applied to neurosurgical perioperative and intraoperative settings and describe their role in multiple subspecialties.

Authors

  • Leonardo Tariciotti
    Unit of Neurosurgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.
  • Paolo Palmisciano
    Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom; Department of Neurosurgery, Policlinico Gaspare Rodolico, Catania, Italy. Electronic address: paolo.palmisciano94@gmail.com.
  • Martina Giordano
    NEVRALIS, Milan, Italy.
  • Giulia Remoli
    NEVRALIS, Milan, Italy.
  • Eleonora Lacorte
    National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.
  • Giulio Bertani
    Unit of Neurosurgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.
  • Marco Locatelli
    Unit of Neurosurgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.
  • Francesco DiMeco
    Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, via Celoria 11, 20133, Milan, Italy.
  • Valerio M Caccavella
    NEVRALIS, Milan, Italy - valeriom.caccavella@gmail.com.
  • Francesco Prada
    Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy.

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