AIMC Topic: Humans

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Characterization of clot composition in acute cerebral infarct using machine learning techniques.

Annals of clinical and translational neurology Mar 4, 2019
OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (M...
Male Aged Endovascular Procedures Middle Aged Aged, 80 and over Acute Disease Humans Atrial Fibrillation Adult Machine Learning Brain Ischemia Female Neuroimaging Stroke Infarction, Middle Cerebral Artery Thrombosis
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Portable brain-computer interface based on novel convolutional neural network.

Computers in biology and medicine Mar 4, 2019
Electroencephalography (EEG) is a powerful, noninvasive tool that provides a high temporal resolution to directly reflect brain activities. Conventional electrodes require skin preparation and the use of conductive gels, while subjects must wear unco...
Humans Electrodes Neural Networks, Computer Brain-Computer Interfaces Male Imagination Algorithms Electroencephalography Equipment Design Brain Signal Processing, Computer-Assisted Adult
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3D Fabrication of Fully Iron Magnetic Microrobots.

Small (Weinheim an der Bergstrasse, Germany) Mar 4, 2019
Biocompatibility and high responsiveness to magnetic fields are fundamental requisites to translate magnetic small-scale robots into clinical applications. The magnetic element iron exhibits the highest saturation magnetization and magnetic susceptib...
Magnetic Fields Hydrogen Electroplating Microfluidics Biocompatible Materials Microtechnology Printing, Three-Dimensional HCT116 Cells Electrochemistry Humans Surface Properties Robotics Magnets Iron
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Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description.

Medical physics Mar 4, 2019
PURPOSE: Developing automated methods to identify task-driven quality assurance (QA) procedures is key toward increasing safety, efficacy, and efficiency. We investigate the use of machine learning (ML) methods for possible visualization, automation,...
Humans Machine Learning Algorithms Radiotherapy Dosage Phantoms, Imaging Electrical Equipment and Supplies Neoplasms Particle Accelerators Quality Assurance, Health Care Automation
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Application of a robotic THz imaging system for sub-surface analysis of ancient human remains.

Scientific reports Mar 4, 2019
We used a robotic-based THz imaging system to investigate the sub-surface structure of an artificially mummified ancient Egyptian human left hand. The results obtained are compared to the results of a conventional CT and a micro-CT scan. Using such a...
Egypt Hand X-Ray Microtomography Mummies Humans Reproducibility of Results Robotics
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Prediction of future cognitive impairment among the community elderly: A machine-learning based approach.

Scientific reports Mar 4, 2019
The early detection of cognitive impairment is a key issue among the elderly. Although neuroimaging, genetic, and cerebrospinal measurements show promising results, high costs and invasiveness hinder their widespread use. Predicting cognitive impairm...
Machine Learning Humans Aged Male Female Cognition Disorders
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Using Machine Learning to Predict Sensorineural Hearing Loss Based on Perilymph Micro RNA Expression Profile.

Scientific reports Mar 4, 2019
Hearing loss (HL) is the most common neurodegenerative disease worldwide. Despite its prevalence, clinical testing does not yield a cell or molecular based identification of the underlying etiology of hearing loss making development of pharmacologica...
Hearing Loss, Sensorineural Humans Perilymph Machine Learning MicroRNAs
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Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.

Scientific reports Mar 4, 2019
Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor grade and treatment for patients. However, this task is often challenging due to the heterogeneous nature of lung adenocarcinoma and the subjective criteri...
Automation Histological Techniques Adenocarcinoma of Lung Humans Lung Neoplasms Pathologists Neural Networks, Computer Deep Learning
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Deep convolutional neural networks for accurate somatic mutation detection.

Nature communications Mar 4, 2019
Accurate detection of somatic mutations is still a challenge in cancer analysis. Here we present NeuSomatic, the first convolutional neural network approach for somatic mutation detection, which significantly outperforms previous methods on different...
Diploidy Sequence Alignment Genes, Neoplasm Exome Neoplasms Computational Biology Databases, Genetic Sequence Analysis, DNA Mutation DNA Mutational Analysis Humans Neural Networks, Computer Machine Learning
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Architectures and accuracy of artificial neural network for disease classification from omics data.

BMC genomics Mar 4, 2019
BACKGROUND: Deep learning has made tremendous successes in numerous artificial intelligence applications and is unsurprisingly penetrating into various biomedical domains. High-throughput omics data in the form of molecular profile matrices, such as ...
Humans Neural Networks, Computer Gene Expression Profiling Deep Learning Logistic Models Support Vector Machine Artificial Intelligence Machine Learning Algorithms Metabolome Bayes Theorem
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