Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening

This is the first study to integrate clinical, MRI radiomics, and motor EPTS features in an ML pipeline for MS prognosis. Combining structural and functional subclinical markers improves the prediction of disability worsening and supports multimodal monitoring for personalized care.