Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-03-014 ISMRM Abstract

Machine Learning for Multiple Sclerosis: Multimodal Classification, Phenotype Differentiation and Disability Prediction

Primary: Neuro - Multiple Sclerosis
Secondary: Analysis Methods - Classification and Prediction
562-03-014 · Machine Learning in Neuroimaging · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row C
Keywords: Diagnosis/Prediction
Accepted
Paola Valsasina 1, Loredana Storelli1, Giulia Mazzetti1, Nicolo Tedone1,2, Patrizia Pantano3,4, Silvia Tommasin3, Antonio Gallo5,6, Alvino Bisecco5,6, Nicola De Stefano7, Alessia Bianchi7, Elisabetta Pagani1, Maria A. Rocca1,2,8, Massimo Filippi1,2,8,9,10
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
2Vita-Salute San Raffaele University, Milan, Italy
3Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
4IRCCS Neuromed, Pozzilli (IS), Italy
5Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
6First Division of Neurology and Neurophysiopathology, AOU Luigi Vanvitelli, Naples, Italy
7Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
8Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
9Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
10Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
Presenting Author: Paola Valsasina

Synopsis

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References

1. Bonacchi R, Filippi M, Rocca MA.R et al. Role of artificial intelligence in MS clinical practice. Neuroimage:Clinical 2022;35:103065. doi: 10.1016/j.nicl.2022.103065 [doi]
2. Amin M, Martínez-Heras E, Ontaneda D, Prados Carrasco F. Artificial Intelligence and Multiple Sclerosis. Curr Neurol Neurosci Rep 2024;24(8):233-243. doi: 10.1007/s11910-024-01354-x [doi]
3. Collorone S, Coll L, Lorenzi M, et al. Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis. Mult Scler 2024;30(7):767-784. doi: 10.1177/13524585241249422 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/562-03-014