Latest AI and machine learning research in neurology for healthcare professionals.
Parkinson's disease (PD) is a neurodegenerative condition characterized by frequently changing motor symptoms, necessitating continuous symptom monitoring for more targeted treatment. Classical time series classification and deep learning techniques have demonstrated limited efficacy in monitoring PD symptoms using wearable accelerometer data due to complex PD movement patterns and the small size ...
Parkinson's disease (PD) is a widespread degenerative disorder of the central nervous system. The gradual degeneration of dopaminergic neurons in the substantia nigra region is one of the primary pathological features of PD. Glial cells in SN are also linked to the pathological PD alterations. To discern the role of neurons and glial cells as well as their corresponding genetic modifications in PD...
Monitoring cognitive development in early childhood enables detection of problems for timely intervention. However, currently recommended methods requ...
Despite the remarkable achievements of deep learning networks in analyzing neuroimaging data for various tasks linked to brain functions and disorders...
PURPOSE: Recent advancements in machine learning (ML) allow for rapid analysis of complex image data, which supports the use of ultrasound (US)-based ...
AimStroke often leads to impaired motor functions, particularly in upper extremities, making functional recovery essential for quality of life and ind...
OBJECTIVES/BACKGROUND: Post-traumatic headache (PTH) is a common symptom following mild traumatic brain injury (mTBI). Currently, there is no identifi...
The development of epilepsy monitoring solutions suitable for everyday use is a very challenging task, where different constraints should be combined,...
BACKGROUND: Abnormal brain activity is the source of epileptic seizures, which can present a variety of symptoms and influence patients' quality of li...
BACKGROUND: Cardiovascular and cerebrovascular diseases significantly contribute to global mortality and disability. The shift to outpatient postopera...
Managing Parkinson's disease (PD) through medication can be challenging due to varying symptoms and disease duration. This study aims to demonstrate t...
This study focuses on the binary classification of pediatric epilepsy seizure types as focal or generalized using Turkish electroencephalography (EEG)...
The brain serves as the central command center for the nervous system in the human body and is made up of nerve cells known as neurons. When these ne...
BACKGROUND AND OBJECTIVES: Traumatic optic neuropathy (TON) caused by optic canal fractures (OCF) can result in severe visual impairment, even blindne...
Several decades of research have investigated the neural connections between stroke-induced brain damage and language difficulties. Typically, lesion-...
Neuropathic pain (NP) is a chronic disease due to nerve injury, viral infections, etc. Inflammatory factors are a key part of its pathological mechani...
BACKGROUND: Individuals with spinal cord injury or disease (SCI/D) experience disproportionately high rates of recurrent urinary tract infections, whi...
Detecting brief, clinically meaningful changes in brain activity is crucial for understanding neurological disorders. Conventional imaging analyses of...
Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environmental and genetic factors, which can lead to severe...
BACKGROUND: Synucleinopathies include a spectrum of disorders varying in features and severity, including idiopathic/isolated REM sleep behaviour diso...