AIMC Topic: Humans

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Pressure redistributing in-seat movement activities by persons with spinal cord injury over multiple epochs.

PloS one Feb 13, 2019
Pressure ulcers, by definition, are caused by external forces on the tissues, often in the regions of bony prominences. Wheelchair users are at risk to develop sitting-acquired pressure ulcers, which occur in the regions of the ischial tuberosities, ...
Models, Biological Pressure Spinal Cord Injuries Adult Sacrum Humans Male Coccyx Middle Aged Machine Learning Pressure Ulcer Female Wheelchairs
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An attention based deep learning model of clinical events in the intensive care unit.

PloS one Feb 13, 2019
This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an attention mechanism to predict daily sepsis, myocardial infarction (MI), and vancomycin antibiotic administration over two week patient ICU courses in ...
Vancomycin Humans Intensive Care Units Diagnosis, Computer-Assisted Sepsis Clinical Decision-Making Anti-Bacterial Agents Deep Learning Myocardial Infarction Retrospective Studies Models, Biological
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Influence of segmentation margin on machine learning-based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas.

European radiology Feb 12, 2019
OBJECTIVE: To determine the possible influence of segmentation margin on each step (feature reproducibility, selection, and classification) of the machine learning (ML)-based high-dimensional quantitative computed tomography (CT) texture analysis (qC...
Diagnosis, Differential Kidney Neoplasms Carcinoma, Renal Cell Reproducibility of Results Male Middle Aged Humans Machine Learning Tomography, X-Ray Computed Female Algorithms Retrospective Studies
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Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning.

European radiology Feb 12, 2019
OBJECTIVES: Distinguishing between kidney stones and phleboliths can constitute a diagnostic challenge in patients undergoing unenhanced low-dose CT (LDCT) for acute flank pain. We sought to investigate the accuracy of radiomics and a machine-learnin...
Humans Female Aged Aged, 80 and over Young Adult Machine Learning Algorithms Tomography, X-Ray Computed Acute Pain Flank Pain Diagnosis, Differential Kidney Calculi Lithiasis Adult Male Middle Aged
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Machine learning in mental health: a scoping review of methods and applications.

Psychological medicine Feb 12, 2019
BACKGROUND: This paper aims to synthesise the literature on machine learning (ML) and big data applications for mental health, highlighting current research and applications in practice.
Humans Machine Learning Mental Disorders Mental Health Public Health
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Extracellular GABA assisting in organizing dynamic cell assemblies to shorten reaction time to sensory stimulation.

Biological cybernetics Feb 12, 2019
Until recently, glia, which exceeds the number of neurons, was considered to only have supportive roles in the central nervous system, providing homeostatic controls and metabolic supports. However, recent studies suggest that glia interacts with neu...
Neuroglia Cell Communication Neurons gamma-Aminobutyric Acid Humans Models, Neurological Reaction Time Neural Networks, Computer Animals
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Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images.

Computer methods and programs in biomedicine Feb 12, 2019
BACKGROUND AND OBJECTIVES: The calcaneus is the most fracture-prone tarsal bone and injuries to the surrounding tissue are some of the most difficult to treat. Currently there is a lack of consensus on treatment or interpretation of computed tomograp...
Calcaneus Tomography, X-Ray Computed Deep Learning Fractures, Bone Humans Neural Networks, Computer Algorithms
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Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors.

Clinical neurology and neurosurgery Feb 12, 2019
OBJECTIVES: Stereotactic radiosurgery (SRS) is a minimally invasive modality for the treatment of trigeminal neuralgia (TN). Outcome prediction of this modality is very important for proper case selection. The aim of this study was to create artifici...
Prognosis Female Risk Factors Young Adult Adult Aged Aged, 80 and over Humans Neural Networks, Computer Predictive Value of Tests Pain Measurement Neurosurgical Procedures Adolescent Treatment Outcome Trigeminal Neuralgia Radiation Dosage Male Diabetes Mellitus Kaplan-Meier Estimate Radiosurgery Middle Aged Follow-Up Studies Depression
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Iterative fully convolutional neural networks for automatic vertebra segmentation and identification.

Medical image analysis Feb 12, 2019
Precise segmentation and anatomical identification of the vertebrae provides the basis for automatic analysis of the spine, such as detection of vertebral compression fractures or other abnormalities. Most dedicated spine CT and MR scans as well as s...
Fractures, Compression Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Spinal Fractures Humans Neural Networks, Computer Tomography, X-Ray Computed
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An Oxide Schottky Junction Artificial Optoelectronic Synapse.

ACS nano Feb 12, 2019
The rapid development of artificial intelligence techniques and future advanced robot systems sparks emergent demand on the accurate perception and understanding of the external environments via visual sensing systems that can co-locate the self-adap...
Artificial Intelligence Oxides Electronics Humans Synapses
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