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Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders.

Seyed-Ahmad AhmadiGerome VivarNassir NavabKen MöhwaldAndreas MaierHristo HadzhikolevThomas BrandtEva GrillMarianne DieterichKlaus JahnAndreas Zwergal
Published in: Journal of neurology (2020)
Established clinical scores (such as HINTS) provide a valuable baseline assessment for stroke detection in acute vestibular syndromes. In addition, machine-learning methods may have the potential to increase sensitivity and selectivity in the establishment of a correct diagnosis.
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