AI-powered disease progression prediction in multiple sclerosis using magnetic resonance imaging: a systematic review and meta-analysis.

Journal: Neurological research
Published Date: Jul 12, 2025

Abstract

BACKGROUND: Disability progression despite disease-modifying therapy remains a major challenge in multiple sclerosis (MS). Artificial intelligence (AI) models exploiting magnetic resonance imaging (MRI) promise personalized prognostication, yet their real-world accuracy is uncertain.

Authors

  • Shakiba Houshi
    Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Zahra Khodakarami
    Department of Bioengineering, University of Pennsylvania, Philadelphia, USA.
  • Aysa Shaygannejad
    Isfahan Neurosciences Research Center, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Farjam Khosravi
    School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Vahid Shaygannejad
    Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

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