Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
669-01-011 ISMRM Abstract

Predicting Neurocognitive Disorder development in Multiple Sclerosis using Artificial Intelligence on MRI and Clinical Data

Primary: Neuro - Multiple Sclerosis
Secondary: Analysis Methods - Classification and Prediction
669-01-011 · Neuroinflammation: Metabolites, Function, and AI · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row J
Keywords: Diagnosis/Prediction
Accepted
Loredana Storelli1, Damiano Mistri1, Alice Mastropasqua1, Marta Grosselle1, Paolo Preziosa1,2,3, Giulia Mazzetti1, Lucrezia Rossi1,3, Paola Valsasina 1, Elisabetta Pagani1, Massimo Filippi1,2,3,4,5, Maria A. Rocca1,2,3
1Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
2Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
3Vita-Salute San Raffaele University, Milan, Italy
4Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
5Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
Presenting Author: Paola Valsasina

Synopsis

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References

1. Rocca MA, Amato MP, De Stefano N, et al. Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis. Lancet Neurol 2015;14:302-317. doi: 10.1016/S1474-4422(14)70250-9 [doi]
2. Westervelt HJ. Dementia in multiple sclerosis: why is it rarely discussed? Arch Clin Neuropsychol 2015;30:174-177. doi: 10.1093/arclin/acu095 [doi]
3. Linardatos P, Papastefanopoulos V, Kotsiantis S. Explainable AI: A Review of Machine Learning Interpretability Methods. Entropy (Basel) 2020;23. doi: 10.3390/e23010018 [doi]
4. Storelli L, Azzimonti M, Gueye M, et al. A Deep Learning Approach to Predicting Disease Progression in Multiple Sclerosis Using Magnetic Resonance Imaging. Invest Radiol 2022;57:423-432. doi: 10.1097/RLI.0000000000000854 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/669-01-011