A self-administered, artificial intelligence (AI) platform for cognitive assessment in multiple sclerosis (MS).

ABSTRACT: BACKGROUND:Cognitive impairment is common in patients with multiple sclerosis (MS). Accurate and repeatable measures of cognition have the potential to be used as markers of disease activity. METHODS:We developed a 5-min computerized test to measure cognitive dysfunction in patients with MS. The proposed test - named the Integrated Cognitive Assessment (ICA) - is self-administered and language-independent. Ninety-one MS patients and 83 healthy controls (HC) took part in Substudy 1, in which each participant took the ICA test and the Brief International Cognitive Assessment for MS (BICAMS). We assessed ICA's test-retest reliability, its correlation with BICAMS, its sensitivity to discriminate patients with MS from the HC group, and its accuracy in detecting cognitive dysfunction. In Substud

SUBMITTER: Khaligh-Razavi SM 

PROVIDER: S-EPMC7236354 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature