Artificial intelligence as applied to clinical neurological conditions

Daniel Ranti, Aly Al Amyn Valliani, Anthony Costa, Eric Karl Oermann

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

1 Scopus citations

Abstract

Artificial intelligence (AI) is poised to alter clinical practice and the ways in which physicians and hospital systems gain insights from complex multimodal patient data. The clinical neurosciences are beginning to see the impact of AI in the form of novel tools for the early detection and management of neurological conditions. This chapter will briefly introduce the analytical modalities and disease processes that are common areas of focus, detail ongoing areas of AI research targeting various stages of neurological and neurosurgical care, discuss existing applications in the clinical setting, and conclude with a word on specific technical hurdles that present a challenge for the widespread adoption of AI in the clinical setting.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine
Subtitle of host publicationTechnical Basis and Clinical Applications
PublisherElsevier Applied Science
Pages395-413
Number of pages19
ISBN (Electronic)9780128212592
ISBN (Print)9780128212585
DOIs
StatePublished - 1 Jan 2020

Keywords

  • Artificial intelligence
  • biomedical informatics
  • computer vision
  • connectome mapping
  • deep learning
  • genomics
  • machine learning
  • neurology
  • neuroscience

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