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

ConclusionsEstablished 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.
Source: Journal of Neurology - Category: Neurology Source Type: research