Latest AI and machine learning research in neurology for healthcare professionals.
A novel multi-channel-based 3D convolutional neural network (3D-CNN) is proposed in this paper to cl...
This step-by-step article demonstrates our approach to robot-assisted laparoscopic revision of a bla...
OBJECTIVES: Generalized paroxysmal fast activity (GPFA) is a key electroencephalographic (EEG) featu...
Over the past decade, the artificial neural networks domain has seen a considerable embracement of d...
Modified Electric Convulsive Therapy (MECT) is an efficacious physical therapy in treating mental di...
Delayed cerebral ischemia (DCI) is a common and severe complication after subarachnoid hemorrhage (S...
In veterinary practice, thin-sliced thoracolumbar MRI is useful in detecting small lesions, especial...
Arm reaching is often impaired in individuals with stroke. Nonetheless, how aiming directions influe...
BACKGROUND: Robot-assisted gait training is incorporated into guidelines for stroke rehabilitation. ...
Recent advances in artificial intelligence (AI) have shown great promise in the diagnosis, predictio...
INTRODUCTION/AIMS: Needle impedance-electromyography (iEMG) assesses the active and passive electric...
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations wit...
Mental health, especially stress, plays a crucial role in the quality of life. During different phas...
In this review, concepts of algorithmic bias and fairness are defined qualitatively and mathematical...
Automatic deep-learning models used for sleep scoring in children with obstructive sleep apnea (OSA)...
"Attention-Deficit Hyperactivity Disorder (ADHD)" is a neuro-developmental disorder in children unde...
PURPOSE: To compare the diagnostic performance of 1.5 T versus 3 T magnetic resonance angiography (M...
Electromyography (EMG) pattern recognition is an important technology for prosthesis control and hum...
Machine learning has shown great promise for integrating multi-modality neuroimaging datasets to pre...
OBJECTIVE: Normal interictal [ F]FDG-PET can be predicted from the corresponding T1w MRI with Genera...
Real world settings are seldomly just composed of level surfaces and stairs are frequently encounter...