Latest AI and machine learning research in neurology for healthcare professionals.
OBJECTIVE: Parkinson's disease (PD) is an age-related neurodegenerative condition characterized most...
Medical research offers potential for disease prediction, like Multiple Sclerosis (MS). This neurolo...
By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, ...
. Automated detection of artefact in stimulus-evoked electroencephalographic (EEG) data recorded in ...
Multiple sclerosis (MS) is a multifaceted neurological condition characterized by challenges in time...
BACKGROUND: Improving walking ability is a key objective in the treatment of children and adolescent...
With the current artificial intelligence (AI) boom, new innovative and accessible applications requi...
Histone deacetylase 6 (HDAC6) is a promising drug target for the treatment of human diseases such as...
INTRODUCTION: Emerging and advanced technologies in the field of Artificial Intelligence (AI) repres...
This paper proposes a high-accuracy EEG-based schizophrenia (SZ) detection approach. Unlike comparab...
Alzheimer's disease (AD) is heterogeneous, but existing methods for capturing this heterogeneity thr...
Seizure is a common neurological disorder that usually manifests itself in recurring seizure, and th...
BACKGROUND: High healthcare costs could arise from unmet needs. This study used random forest (RF) a...
When conducting spine-related diagnosis and surgery, the three-dimensional (3D) upright posture of t...
BACKGROUND: Although early rehabilitation is important following a stroke, severely affected patient...
Prolonged sitting can easily result in pressure injury (PI) for certain people who have had strokes ...
In this paper, two two-timescale projection neural networks are proposed based on the majorization-m...
Facial Expression Analysis (FEA) plays a vital role in diagnosing and treating early-stage neurologi...
In order to extract more important morphological features of neuron images and achieve accurate clas...
The process of reconstructing underlying cortical and subcortical electrical activities from Electro...
Brain atrophy measurements derived from magnetic resonance imaging (MRI) are a promising marker for ...