Humans

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Evaluating Artificial Intelligence Applications in Clinical Settings.

JAMA network open Sep 7, 2018
Humans Diabetic Retinopathy Neural Networks, Computer Artificial Intelligence Primary Health Care
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Value of Neighborhood Socioeconomic Status in Predicting Risk of Outcomes in Studies That Use Electronic Health Record Data.

JAMA network open Sep 7, 2018
IMPORTANCE: Data from electronic health records (EHRs) are increasingly used for risk prediction. However, EHRs do not reliably collect sociodemographic and neighborhood information, which has been shown to be associated with health. The added contri...
(1)
North Carolina Cohort Studies Income Humans Racial Groups Social Determinants of Health Residence Characteristics Electronic Health Records Social Class Male Outcome Assessment, Health Care Health Status Disparities Female Middle Aged Aged Adult
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Smartwatch User Interface Implementation Using CNN-Based Gesture Pattern Recognition.

Sensors (Basel, Switzerland) Sep 7, 2018
In recent years, with an increase in the use of smartwatches among wearable devices, various applications for the device have been developed. However, the realization of a user interface is limited by the size and volume of the smartwatch. This study...
(1)
Accelerometry User-Computer Interface Pattern Recognition, Automated Humans Neural Networks, Computer Machine Learning Wearable Electronic Devices Gestures
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Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface.

Sensors (Basel, Switzerland) Sep 7, 2018
People suffering from neuromuscular disorders such as locked-in syndrome (LIS) are left in a paralyzed state with preserved awareness and cognition. In this study, it was hypothesized that changes in local hemodynamic activity, due to the activation ...
Humans Spectroscopy, Near-Infrared Healthy Volunteers Brain-Computer Interfaces Broca Area Speech Support Vector Machine Hemoglobins
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A review of computer aided detection in mammography.

Clinical imaging Sep 7, 2018
Breast screening with mammography is widely recognized as the most effective method of detecting early breast cancer and has consistently demonstrated a 20-40% decrease in mortality among screened women. Despite this, the sensitivity of mammography r...
Mammography Radiographic Image Interpretation, Computer-Assisted Breast Breast Neoplasms Early Detection of Cancer Humans Artificial Intelligence Female
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Fibroblast growth factor23 is associated with axonal integrity and neural network architecture in the human frontal lobes.

PloS one Sep 7, 2018
Elevated levels of FGF23 in individuals with chronic kidney disease (CKD) are associated with adverse health outcomes, such as increased mortality, large vessel disease, and reduced white matter volume, cardiovascular and cerebrovascular events. Apar...
Cardiovascular Diseases Middle Aged Cohort Studies Renal Insufficiency, Chronic Magnetic Resonance Imaging Female Risk Factors Male White Matter Fibroblast Growth Factors Vascular Stiffness Humans Vascular Calcification Axons Fibroblast Growth Factor-23 Neural Networks, Computer Frontal Lobe Endothelium, Vascular
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Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.

Artificial intelligence in medicine Sep 6, 2018
In recent years, deep convolutional neural networks (CNNs) have shown record-shattering performance in a variety of computer vision problems, such as visual object recognition, detection and segmentation. These methods have also been utilised in medi...
Brain Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging
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Predicting cancer outcome: Artificial intelligence vs. pathologists.

Oral diseases Sep 6, 2018
Neoplasms Diagnosis, Computer-Assisted Pathologists Humans Artificial Intelligence
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Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification.

Academic radiology Sep 6, 2018
RATIONALE AND OBJECTIVES: We propose an automated segmentation pipeline based on deep learning for proton lung MRI segmentation and ventilation-based quantification which improves on our previously reported methodologies in terms of computational eff...
Humans Computer Simulation Protons Lung Deep Learning Datasets as Topic Magnetic Resonance Imaging Pulmonary Ventilation
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Deep learning in biomedicine.

Nature biotechnology Sep 6, 2018
Deep learning is beginning to impact biological research and biomedical applications as a result of its ability to integrate vast datasets, learn arbitrarily complex relationships and incorporate existing knowledge. Already, deep learning models can ...
Humans Algorithms Deep Learning
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