AI Medical Compendium Journal:
Multiple sclerosis (Houndmills, Basingstoke, England)

Showing 11 to 20 of 21 articles

Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England)
OBJECTIVE: The aim of this study is to assess the performance of deep learning convolutional neural networks (CNNs) in segmenting gadolinium-enhancing lesions using a large cohort of multiple sclerosis (MS) patients.

Harnessing electronic medical records to advance research on multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England)
BACKGROUND: Electronic medical records (EMR) data are increasingly used in research, but no studies have yet evaluated similarity between EMR and research-quality data and between characteristics of an EMR multiple sclerosis (MS) population and known...

Natalizumab-associated progressive multifocal leukoencephalopathy is not preceded by elevated drug concentrations.

Multiple sclerosis (Houndmills, Basingstoke, England)
BACKGROUND: In recent years, a small but increasing number of neurologists choose to extend dose intervals of natalizumab with the aim of reducing the risk of progressive multifocal leukoencephalopathy (PML). This idea is based on the hypothesis that...

The effects of robot-assisted gait training in progressive multiple sclerosis: A randomized controlled trial.

Multiple sclerosis (Houndmills, Basingstoke, England)
BACKGROUND: Gait and mobility impairments are common in progressive multiple sclerosis (MS), leading to reduced quality of life (QoL).

Beyond therapists: Technology-aided physical MS rehabilitation delivery.

Multiple sclerosis (Houndmills, Basingstoke, England)
In the last decade, rehabilitation technology has been developed, investigated, and entered specialized clinical settings. In this chapter, we first discuss the potential of rehabilitation technology to support the achievement of key factors in motor...