Traditionally the diagnosis and quantification of the disease burden in multiple sclerosis (MS) rely on visual patterns recognition by experienced clinicians, therefore making these decisions time-consuming and hardly reproducible.

Current and future applications of artificial intelligence in multiple sclerosis

Cacciaguerra L.
Primo
;
Storelli L.;Rocca M. A.
Penultimo
;
Filippi M.
Ultimo
2022-01-01

Abstract

Traditionally the diagnosis and quantification of the disease burden in multiple sclerosis (MS) rely on visual patterns recognition by experienced clinicians, therefore making these decisions time-consuming and hardly reproducible.
2022
Artificial intelligence
Computer-aided medicine
Deep-learning
Imaging
Machine learning
Multiple sclerosis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/138277
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