Latest AI and machine learning research in neurology for healthcare professionals.
Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active t...
Electroencephalography (EEG) experiments typically generate vast amounts of data due to the high sam...
Small interfering RNA (siRNA) targeting the NOD-like receptor family pyrin domain-containing 3 (NLRP...
PD is a progressive neurodegenerative disorder that leads to gradual motor impairments. Early detect...
Epilepsy significantly impacts global health, affecting about 65 million people worldwide, along wit...
Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhanc...
EEG is the most powerful tool for epilepsy discharge detection in brain. Visual evaluation is hard i...
BACKGROUND: Accurate measurement of the spinal alignment parameters is crucial for diagnosing and ev...
The Morris Water Maze (MWM) is a widely used behavioral test to assess the spatial learning and memo...
BACKGROUND AND OBJECTIVE: Motor diagnosis, monitoring and management of Parkinson's disease (PD) foc...
OBJECTIVE: To develop and validate a deep neural network (DNN) model for diagnosing Parkinson's Dise...
INTRODUCTION: Combining repetitive transcranial magnetic stimulation (rTMS) with robotic training co...
Despite the vast number of publications reporting seizures and the reliance of the field on accurate...
PURPOSE: This study explores the application of machine learning to high-dimensional proteomics data...
The detection and quantification of veterinary drug residues in meat remain a significant challenge ...
PURPOSE: Lumbosacral nerve root anomalies are relatively rare but can be a risk factor for intraoper...
AIMS: Adult spinal deformity (ASD) surgery can reduce pain and disability. However, the actual surgi...
Machine learning approaches including deep learning models have shown promising performance in the a...
This study develops a physics-informed neural network (PINN) model to predict stress distribution in...
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spina...
BACKGROUND: Malignant cerebral edema (MCE) is a significant complication following endovascular thro...