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 ZwergalPublished 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.