Results 91 to 100 of about 32,013 (193)
The machine learning methods combined with resting‐state functional magnetic resonance imaging parameters (ALFF, slow‐5 fALFF, and ReHo) had good classification performance in distinguishing intermittent exotropia (IXT) children from healthy controls (HCs). Among several parameters, the slow‐5 fALFF showed the best classification performance.
Mengdi Zhou+8 more
wiley +1 more source
Clinical insights on Tolosa Hunt syndrome: a multidisciplinary approach on neurological-related symptomatology in maxillofacial region [PDF]
Background Tolosa–Hunt syndrome (THS) related neurological symptoms are described in literature as “unilateral”, “recurrent”, “episodic”, “intense”, “severe”, “lancinating” or “stabbing” pain on the upper face and forehead and may be misdiagnosed ...
Ahmed Siddiqui, Ammar+8 more
core +2 more sources
Veterans Traumatic Brain Injuries and Neurosurgical Challenges: A Narrative Review
ABSTRACT Background Veterans experience a high prevalence of traumatic brain injuries (TBIs) due to combat‐related incidents such as explosive blasts, penetrating injuries, and blunt force trauma. These military TBIs are often more complex than civilian TBIs, leading to increased long‐term neurological consequences.
Ali Mortezaei+4 more
wiley +1 more source
Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health [PDF]
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated process that combines intraoral fluorescent porphyrin biomarker imaging, clinical examinations and machine learning for correlation of systemic health conditions with periodontal disease. 1215 intraoral fluorescent
arxiv
A cohort study on acute ocular motility disorders in pediatric emergency department [PDF]
Background: Acute ocular motility disorders (OMDs) in children admitted to Emergency Department (ED) represents a not so rare condition with a wide spectrum of different etiologies.
Ferro, Valentina+10 more
core +1 more source
Abstract Background Antidopaminergic medications (ADM) are often used for symptom management of Huntington's disease (HD). Evidence from past research suggests that ADMs are associated with worse clinical outcomes in HD, but their impact on various domains remains underexplored.
Michal Geva+5 more
wiley +1 more source
Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network [PDF]
Glaucoma is the second leading cause of blindness all over the world, with approximately 60 million cases reported worldwide in 2010. If undiagnosed in time, glaucoma causes irreversible damage to the optic nerve leading to blindness. The optic nerve head examination, which involves measurement of cup-to-disc ratio, is considered one of the most ...
arxiv +1 more source
Abstract Hand function is important in every aspect of our lives. Across a wide range of neuromuscular disorders—inherited ataxias, motor neuron diseases, polyneuropathies, and myopathies—people can experience losses in hand strength, tone, movement, dexterity, joint range, and sensation.
Colleen O'Connell+5 more
wiley +1 more source
ABSTRACT Autoimmune glial fibrillary acidic protein (GFAP) astrocytopathy (GFAP‐A) is an autoimmune inflammatory central nervous system disease. Recent neuropathological findings indicate that GFAP‐specific cluster of differentiation (CD)8+ T cells are likely the effectors of GFAP‐A.
Akio Kimura
wiley +1 more source
Application of zebrafish oculomotor behavior to model human disorders [PDF]
To ensure high acuity vision, eye movements have to be controlled with astonishing precision by the oculomotor system. Many human diseases can lead to abnormal eye movements, typically of the involuntary oscillatory eye movements type called nystagmus ...
Huang, Ying-Yu+2 more
core