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 …

The diagnosis of multiple sclerosis (MS) is based on accurate detection of lesions on
magnetic resonance imaging (MRI) which also provides ongoing essential information about …

BACKGROUND AND PURPOSE: MR imaging is the key examination in the follow-up of
patients with MS, by identification of new high-signal T2 brain lesions. However, identifying …

Objectives In multiple sclerosis (MS), the heterogeneous and numerous appearances of
lesions may impair diagnostic accuracy. This study investigates if a combined automated co …

Aim: To develop a microsimulation model to assess the potential health economic impact of
software-assisted MRI in detecting disease activity or progression in relapsing-remitting …

Background: The magnetic resonance imaging in multiple sclerosis (MAGNIMS) score
combines relapses and magnetic resonance imaging (MRI) lesions to predict disability …

Background Large Language Models like Chat Generative Pre-trained Transformer
(ChatGPT) have demonstrated potential for differential diagnosis in radiology. Previous …

Background Compare the contemporary use of magnetic resonance imaging (MRI) in the
monitoring and management of people with MS in the UK to current consensus guidelines …

Background and Objectives: Young adults represent an increasingly large proportion of
healthy volunteers in brain imaging research, but descriptions of incidental findings (IFs) in …

Objective Preoperative magnetic resonance imaging (MRI) studies are routinely ordered for
trigeminal neuralgia (TN), though with contested reliability in contemporary literature. A …