Narrative ReviewJournal of neuroengineering and rehabilitation2025

Integrating big data and artificial intelligence to predict progression in multiple sclerosis: challenges and the path forward.

Hamza Khan, Sofie Aerts, Ilse Vermeulen, Henry C Woodruff, Philippe Lambin, Liesbet M Peeters

PMID 41024088

WHAT IT FOUND

This paper reviews why AI tools for predicting MS progression are not yet used in clinics.

It highlights data fragmentation and regulatory barriers but offers no new clinical evidence or results for therapists.

What this paper is

This is a perspective paper discussing the challenges and regulatory barriers to using artificial intelligence for predicting multiple sclerosis progression. It does not report original clinical trials or patient outcomes, so there are no new findings here to change your practice on.

Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →


The study

Certainty of evidence
Low

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    Cite

    Hamza Khan, Sofie Aerts, Ilse Vermeulen, et al. Integrating big data and artificial intelligence to predict progression in multiple sclerosis: challenges and the path forward. Journal of neuroengineering and rehabilitation. 2025.

    Read the original — we summarise, we never replace the paper.