Latest AI and machine learning research in neurology for healthcare professionals.
PURPOSE: To develop and evaluate methods to improve the generalizability of convolutional neural networks (CNNs) trained to detect glaucoma from optical coherence tomography retinal nerve fiber layer probability maps, as well as optical coherence tomography circumpapillary disc (circle) b-scans, and to explore impact of reference standard (RS) on CNN accuracy.
To evaluate the clinical features, surgical effects and factors that may affect prognosis of muscular invasive bladder cancer in young people. The clinical data of young (aged 44 and below) patients with muscle invasive bladder cancer who underwent robot-assisted radical cystectomy at the First Affiliated Hospital of Zhengzhou University from October 1st, 2014 to October 31st, 2018 were retrospe...
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hyper...
Content-based image analysis and computer vision techniques are used in various health-care systems to detect the diseases. The abnormalities in a hum...
Although robotic-assisted locomotor treadmill therapy is utilized on children with cerebral palsy (CP), its impact on the gait pattern in childhood is...
OBJECTIVE: A predictive model of Alzheimer's disease (AD) was established based on brain surface meshes and geometric deep learning, and its performan...
At present the prediction method of epilepsy patients is very time-consuming and vulnerable to subjective factors, so this paper presented an automati...
Omics technologies offer great promises for improving our understanding of diseases. The integration and interpretation of such data pose major challe...
The analysis of neural circuits can provide crucial insights into the mechanisms of neurodegeneration and dementias, and offer potential quantitative ...
Gait automaticity is reduced in patients with Parkinson disease (PD) due to impaired habitual control. The aim of this study was to investigate the ef...
BACKGROUND: Pathological diagnosis of glioma subtypes is essential for treatment planning and prognosis. Standard histological diagnosis of glioma is ...
Uncompetitive antagonists of the N-methyl d-aspartate receptor (NMDAR) have demonstrated therapeutic benefit in the treatment of neurological diseases...
Exon splicing triggered by unpredicted genetic mutation can cause translational variations in neurodegenerative disorders. In this study, we discover ...
BACKGROUND: Resection of large nerve sheath tumors in the lumbar spine using minimally invasive approaches is challenging, as approaches to tumors in ...
The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehensive logical standard to describe and computational...
Diffusion MRI is the modality of choice to study alterations of white matter. In past years, various works have used diffusion MRI for automatic class...
The development of neuroimaging instrumentation has boosted neuroscience researches. Consequently, both the fineness and the cost of data acquisition ...
Translating deep learning research from theory into clinical practice has unique challenges, specifically in the field of neuroimaging. In this paper,...
With the increasing size of datasets used in medical imaging research, the need for automated data curation is arising. One important data curation ta...