Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …

Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …

Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …

Alzheimer's disease (AD) is the leading cause of dementia, accounting for 70% of cases
worldwide. By 2050, dementia prevalence will have tripled, with most new cases occurring …

Adults with attention‐deficit/hyperactivity disorder (ADHD) have been described as having
altered resting‐state electroencephalographic (EEG) spectral power and theta/beta ratio …

The course of multiple sclerosis begins with a relapsing-remitting phase, which evolves into
a secondarily progressive form over an extremely variable period, depending on many …

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 …

Objective Altered brain functional connectivity has been shown in youth with attention-
deficit/hyperactivity disorder (ADHD). However, relatively little is known about functional …

Introduction The applications of artificial intelligence, and in particular automatic learning or
“machine learning”(ML), constitute both a challenge and a great opportunity in numerous …

Background Multiple sclerosis (MS) is a neurological condition whose symptoms, severity,
and progression over time vary enormously among individuals. Ideally, each person living …