Artificial intelligence-powered lesion segmentation tools hold great potential for improving fast, accurate and reproducible lesional assessment in the clinical scenario, thus improving MS diagnosis, monitoring, and treatment response assessment. Emerging neuroimaging modalities may contribute to advance the understanding MS pathophysiology, provide more specific markers of disease progression, and novel potential therapeutic targets.
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Massimo Filippi, Paolo Preziosa, Douglas L. Arnold, Frederik Barkhof, Daniel M. Harrison, Pietro Maggi, Caterina Mainero, Xavier Montalbán, Elia Sechi, Brian G. Weinshenker, Maria A. Rocca
Maria A. Rocca, Paolo Preziosa, Frederik Barkhof, Wallace Brownlee, Massimiliano Calabrese, Nicola De Stefano, Cristina Granziera, Stefan Ropele, Ahmed Toosy, Ángela Vidal‐Jordana, Massimiliano Di Filippo, Massimo Filippi
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