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Computational neurosurgery: Foundation

Antonio Di Ieva*, Eric Suero Molina, Sidong Liu, Carlo Russo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.

Original languageEnglish
Title of host publicationComputational neurosurgery
EditorsAntonio Di Ieva, Eric Suero Molina, Sidong Liu, Carlo Russo
Place of PublicationSwitzerland
PublisherSpringer
Chapter1
Pages1-8
Number of pages8
ISBN (Electronic)9783031648922
ISBN (Print)9783031648915
DOIs
Publication statusPublished - 2024

Publication series

NameAdvances in Experimental Medicine and Biology
PublisherSpringer
Volume1462
ISSN (Print)0065-2598
ISSN (Electronic)2214-8019

Keywords

  • Artificial intelligence
  • Augmented intelligence
  • Computational neurosurgery
  • Deep learning
  • Machine learning
  • Natural language processing
  • Neurosurgery

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