Table 7 Comparative Analysis of Diagnostic Performance Metrics between T2-Weighted and FLAIR MRI Image-Based AI Models for MS Detection, highlighting that the FLAIR model achieves higher accuracy, precision, and F1 score, albeit with a larger feature size and longer CPU time, utilizing the RF classifier.

From: AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans

 

Feat size

Acc

Prec

Rec

F1 score

CPU time

Avr fit

Std fit

Best fit

Worst fit

T2

63.76

91.2471

90.7619

86.303

88.4382

8.0064

0.1099

0.0105

0.0944

0.1295

FLAIR

91.16

92.94118

95.66871

85.125

90.0345

12.35661

0.1181

0.0109

0.0943

0.1413

  1. *Significant are in bold.