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 language | English (US) |
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Title of host publication | Comprehensive Precision Medicine, First Edition, Volume 1-2 |
Publisher | Elsevier |
Pages | 607-617 |
Number of pages | 11 |
Volume | 1 |
ISBN (Electronic) | 9780128240106 |
DOIs | |
State | Published - 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
- General Agricultural and Biological Sciences
- General Biochemistry, Genetics and Molecular Biology