Purpose MRI is integral to the diagnosis of multiple sclerosis (MS) and is important for
clinical prognostication. Quantitative volumetric reporting tools (QReports) can improve the …

The use of artificial intelligence (AI) has grown dramatically in the past few years in the
United States and worldwide, with more than 300 AI-enabled devices approved by the US …

Background and purpose Data from neuro‐imaging techniques allow us to estimate a
brain's age. Brain age is easily interpretable as 'how old the brain looks' and could therefore …

The availability of effective therapies for patients with relapsing-remitting multiple sclerosis
(RRMS) has prompted a re-evaluation of the most appropriate way to measure treatment …

Background Perivascular spaces can become detectable on magnetic resonance imaging
(MRI) upon enlargement, referred to as enlarged perivascular spaces (EPVS) or Virchow …

Background and purpose To predict disability and cognition in multiple sclerosis (MS) after 6
and 12 years, using early clinical and imaging measures. Methods A total of 115 patients …

In multiple sclerosis (MS), the early detection of disease activity or progression is key to
inform treatment changes and could be supported by digital tools. We present a novel CE …

Background Cervical spinal cord atrophy (CSCA), which partly reflects the axonal loss in the
spinal cord, is increasingly recognized as a valuable predictor of disease outcome …

Introduction Despite the recognized importance of atrophy in multiple sclerosis (MS),
methods for its quantification have been mostly restricted to the research domain. Recently …

Background Recent changes in the understanding and management of multiple sclerosis
(MS) have increased the role of MRI in supporting diagnosis and disease monitoring …