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Table 4 Mean ICA and BICAMS scores per group

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

 

MS (n = 91)

HC (n = 83)

   

BICAMS

mean

SD

mean

SD

Difference

Cohen’s d

p-value

SDMT

41.04

11.02

54.73

9.77

13.69

1.31

< 10− 14

BVMT-R

21.89

6.95

23.69

5.17

1.80

0.29

=0.0565

CVLT-II

48.96

11.13

58.28

6.59

9.32

1.00

< 10−9

ICA

  

ICA score

63.67

13.30

78.43

9.86

17.76

1.26

< 10−13

Accuracy

84.97

11.66

89.57

5.79

4.60

0.50

=0.0014

Speed

74.54

12.26

87.76

10.11

13.22

1.16

< 10−12

  1. Mean and standard deviations (SD) for BICAMS test scores and the ICA test scores are compared for MS patients versus healthy controls (HC). The ICA score is a composite score made of both speed and accuracy of participants in ICA’s rapid visual categorization task. P-values come from a two-sample t-test
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BMC Neurology

ISSN: 1471-2377

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