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Article Dans Une Revue Diagnostic and Interventional Imaging Année : 2020

Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

P. Roca
  • Fonction : Auteur
A. Attye
  • Fonction : Auteur
L. Colas
P. Rubini

Résumé

The purpose of this study was to create an algorithm that combines multiple machine-learning techniques to predict the expanded disability status scale (EDSS) score of patients with multiple sclerosis at two years solely based on age, sex and fluid attenuated inversion recovery (FLAIR) MRI data.

Dates et versions

hal-03356694 , version 1 (28-09-2021)

Identifiants

Citer

P. Roca, A. Attye, L. Colas, A. Tucholka, P. Rubini, et al.. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI. Diagnostic and Interventional Imaging, 2020, 101 (12), pp.795-802. ⟨10.1016/j.diii.2020.05.009⟩. ⟨hal-03356694⟩
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