Review
Open access
2026
Machine Learning for Multiple Sclerosis: A Systematic Review of Data and Methodologies
This systematic review consolidates recent advances in ML for MS diagnosis and monitoring and proposes a task-based taxonomy linking clinical objectives to methodological families, providing a comprehensive roadmap toward building robust, data-efficient, and trustworthy ML systems for clinical decision support in MS.
Marthe Elgawly, Beyza Nur Elaslan, Marco Cascio et al.
· IEEE Access · 0 citations