Latest AI and machine learning research in neurology for healthcare professionals.
INTRODUCTION: Multiple prognostic scores have been developed to predict morbidity and mortality in p...
OBJECTIVE: Hypomimia, or reduced facial expressiveness, is a cardinal motor feature of Parkinson's d...
Objective: To develop a patient-specific 3-dimensional (3D) point-cloud deep learning framework for ...
Interictal epileptiform discharges (IEDs) are diagnostically important EEG abnormalities, but after ...
Parkinson's disease (PD) is a neurodegenerative disorder fundamentally characterized by motor impair...
STUDY DESIGN: Narrative review. OBJECTIVE: To provide an overview of outcomes, cost-effectiveness, l...
OBJECTIVE: Restoring hand function is critical for individuals with spinal cord injury (SCI). This s...
BACKGROUND: Adjacent segment disease (ASD) is a common and serious long-term complication following ...
OBJECTIVES: Conventional magnetic resonance imaging faces limitations in differentiating among pedia...
BACKGROUND: Traumatic brain injury (TBI) remains a leading cause of death and long-term neurological...
Reproducibility remains a challenge in spinal cord injury (SCI) research, and the absence of standar...
BACKGROUND: Traditionally, the number and location of cerebral microbleeds (CMBs) are manually calcu...
PURPOSE: Ischemic stroke is a leading cause of disability and death, and early identification of car...
BACKGROUND AND OBJECTIVES: The objective of this study was to apply and compare machine learning tec...
Reliable uncertainty estimation is a key requirement for the clinical adoption of convolutional neur...
Current clinical assessment methods are insufficiently sensitive for detection of subtle post-concus...
Myelin plasticity is fundamental to the formation of neural networks and the optimization of neural ...
Despite the widespread adoption of deep learning techniques in motor imagery (MI) electroencephalogr...
AIMS: To evaluate whether plasma biomarkers can distinguish cognitively normal (CN) individuals who ...
STUDY OBJECTIVES: Current multimodal approaches for automated sleep apnea detection usually assume c...
BackgroundAlzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive declin...