Summary The 2015 Magnetic Resonance Imaging in Multiple Sclerosis and 2016
Consortium of Multiple Sclerosis Centres guidelines on the use of MRI in diagnosis and …

Multiple sclerosis (MS) is a chronic autoimmune disease that impacts the central nervous
system and can result in disability. Although the prevalence of MS has increased in India …

In recent years, the use of magnetic resonance imaging (MRI) for the diagnostic work-up of
multiple sclerosis (MS) has evolved considerably. The 2017 McDonald criteria show high …

Importance Multiple sclerosis (MS) misdiagnosis remains an important issue in clinical
practice. Objective To quantify the performance of cortical lesions (CLs) and central vein …

In the majority of cases, multiple sclerosis (MS) is characterized by reversible episodes of
neurological dysfunction, often followed by irreversible clinical disability. Accurate diagnostic …

In this paper, we analyse the different advances in artificial intelligence (AI) approaches in
multiple sclerosis (MS). AI applications in MS range across investigation of disease …

Accurate interpretation of a patient's clinical presentation and radiologic studies,
accompanied by knowledgeable and thoughtful application of the 2017 revised McDonald …

Background: The aim of this paper is to implement a system to facilitate the diagnosis of
multiple sclerosis (MS) in its initial stages. It does so using a convolutional neural network …

The specificity and implementation of current MRI-based diagnostic criteria for multiple
sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are …

Abstract Purpose of Review Misdiagnosis of multiple sclerosis (MS) is a prevalent worldwide
problem. This review discusses how MS misdiagnosis has evolved over time and focuses on …