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Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis.

Authors :
Collorone S
Coll L
Lorenzi M
Lladó X
Sastre-Garriga J
Tintoré M
Montalban X
Rovira À
Pareto D
Tur C
Source :
Multiple sclerosis (Houndmills, Basingstoke, England) [Mult Scler] 2024 Jun; Vol. 30 (7), pp. 767-784. Date of Electronic Publication: 2024 May 13.
Publication Year :
2024

Abstract

Artificial intelligence (AI) is the branch of science aiming at creating algorithms able to carry out tasks that typically require human intelligence. In medicine, there has been a tremendous increase in AI applications thanks to increasingly powerful computers and the emergence of big data repositories. Multiple sclerosis (MS) is a chronic autoimmune condition affecting the central nervous system with a complex pathogenesis, a challenging diagnostic process strongly relying on magnetic resonance imaging (MRI) and a high and largely unexplained variability across patients. Therefore, AI applications in MS have the great potential of helping us better support the diagnosis, find markers for prognosis to eventually design more powerful randomised clinical trials and improve patient management in clinical practice and eventually understand the mechanisms of the disease. This topical review aims to summarise the recent advances in AI applied to MRI data in MS to illustrate its achievements, limitations and future directions.<br />Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Details

Language :
English
ISSN :
1477-0970
Volume :
30
Issue :
7
Database :
MEDLINE
Journal :
Multiple sclerosis (Houndmills, Basingstoke, England)
Publication Type :
Academic Journal
Accession number :
38738527
Full Text :
https://doi.org/10.1177/13524585241249422