Abstract

The complexity and relatively inaccessibility of the nervous system present unique challenges to diagnosis and treatment of neurological disorders. Advances in computing power and biomedical informatics are benefiting cerebrovascular disorders. The need for rapid diagnosis given is hindered as clinical signs may be non-specific. Here we present several computational advances in brain imaging that improve detection of early stroke and assessment of viable tissue. Digital advances extend to the post-stroke care setting, finding individual differences in brain responses to the emerging field of electrical brain stimulation. More rapid diagnosis and individualizing rehabilitation paradigms hold great promise in improving stroke outcomes.

Original languageEnglish (US)
Title of host publicationComprehensive Precision Medicine, First Edition, Volume 1-2
PublisherElsevier
Pages607-617
Number of pages11
Volume1
ISBN (Electronic)9780128240106
DOIs
StatePublished - 2024

Keywords

  • Artificial intelligence
  • Brain hemorrhage
  • Cerebrovascular disease
  • Classification
  • Denoising
  • Functional brain imaging
  • Ischemic stroke
  • Machine learning
  • Magnetic resonance imaging
  • Mismatch imaging
  • Perfusion imaging
  • Rehabilitation
  • Stroke
  • Transcranial magnetic stimulation

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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