Latest AI and machine learning research in neurology for healthcare professionals.
Adolescent idiopathic scoliosis (AIS) requires effective and personalized brace treatment strategies to prevent progression and the potential need for surgery. However, monitoring and prediction of the spinal column deformities during bracing is not always possible. Relying only on traditional methods or clinicians' experience may pose a complex challenge in orthopedic care, as unique biological c...
Freezing of gait (FOG), a disabling symptom in Parkinson's disease, presents a major challenge for wearable classification algorithms that struggle to distinguish freezes from voluntary stops. To address this ambiguity, we evaluated whether incorporating eye-gaze kinematics could improve classification accuracy compared to using ankle-mounted inertial measurement units (IMUs) alone. We analyzed da...
BACKGROUND AND PURPOSE: Electroencephalogram (EEG) signals play a vital role in analyzing neurological activity and diagnosing various neurological di...
BACKGROUND: Depression in Parkinson's disease (dPD) is common and heterogeneous, impairs quality of life, and may accelerate disease progression. Tool...
Profiling imaging biomarkers of prodromal Alzheimer's disease (AD) against AD dementia may aid earlier diagnosis, yet approaches jointly capturing iro...
Drug-resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortalit...
INTRODUCTION: Facial paralysis is a challenging condition that affects both function and quality of life. Numerous surgical techniques have been descr...
OBJECTIVE: This study was undertaken to develop and validate an artificial intelligence (AI) diagnostic tool using hybrid electroencephalographic (EEG...
Objective.Electroencephalogram (EEG) signal variability caused by external factors and subject differences limits the adaptation of motor imagery (MI)...
Alzheimer's disease (AD) is pressing global health concerns, for which early diagnosis is critical to effective intervention. However, conventional ap...
Accurate seizure prediction in advance is crucial for patients with epilepsy, as it helps prevent harm and improve life quality. Intracranial electroe...
Depression is a prevalent and disabling syndrome characterized by sustained sadness and/or anhedonia, as well as cognitive and physical symptoms. In P...
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, spec...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, amyloid-β plaques, and neurofibrillary tangle...
Emotion recognition stands as a complex and prominent challenge within contemporary artificial intelligence research. Deep learning on physiological s...
Recent studies examining the representational alignment between Large Language Models (LLMs) and brain activity show promising correspondences, yet la...
BACKGROUND: Machine learning provides a powerful framework to model the complex patterns underlying migraine attack onset from real-world high dimensi...
Parkinson's disease (PD) is a progressive neurodegenerative disorder, and the diagnostic procedures are very crucial in enhancing patient outcomes whe...
Stroke remains a leading cause of death and disability worldwide. In response, many governments have developed stroke policies emphasizing prevention,...
BackgroundRandomised trials have demonstrated that early anticoagulation after acute atrial fibrillation-associated ischaemic stroke is safe and non-i...