Computational Neurosurgery: Foundation.

Journal: Advances in experimental medicine and biology
Published Date:

Abstract

Computational neurosurgery is a novel translational field where computational modeling and artificial intelligence are used to improve diagnosis, treatment, and prognosis of patients affected by diseases of neurosurgical relevance. By laying the foundations of the field, this chapter summarizes the main aspects and implications of artificial intelligence in the clinical neurosciences, with particular emphasis on the necessity to provide an augmented intelligence (AI+) framework to be implemented in modern and future healthcare, aimed to improve the knowledge of the brain, in all its physiopathological spectrum, and to enhance the understanding and treatment of neurological and neurosurgical diseases.

Authors

  • Antonio Di Ieva
    Neurosurgery Unit, Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
  • Eric Suero Molina
    Computational NeuroSurgery (CNS) Lab, Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia.
  • Sidong Liu
    Save Sight Institute, Sydney Medical School, The University of Sydney, Sydney, Australia; Brain and Mind Centre, Sydney Medical School, The University of Sydney, Sydney, Australia.
  • Carlo Russo
    Computational NeuroSurgery (CNS) Lab, Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia.