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 …

Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …

Abstract Machine learning (ML) and its subset, deep learning (DL), are branches of artificial
intelligence (AI) showing promising findings in the medical field, especially when applied to …

Objectives Magnetic resonance imaging (MRI) is an important tool for diagnosis and
monitoring of disease course in multiple sclerosis (MS). However, its prognostic value for …

Multiple Sclerosis (MS) is characterized by chronic deterioration of the nervous system,
mainly the brain and the spinal cord. An individual with MS develops the condition when the …

Multiple sclerosis (MS) is one of the most common autoimmune diseases which is commonly
diagnosed and monitored using magnetic resonance imaging (MRI) with a combination of …

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

Childhood demyelinative diseases classification (DDC) with brain magnetic resonance
imaging (MRI) is crucial to clinical diagnosis. But few attentions have been paid to DDC in …

Over the last decade, artificial intelligence (AI) has made an enormous impact on a wide
range of fields, including science, engineering, informatics, finance, and transportation. In …

Background The expansion of the availability of advanced imaging methods needs more
time, expertise, and resources which is in contrast to the primary goal of the imaging …