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Prediction and early detection of delirium in the intensive care unit by using heart rate variability and machine learning.

Physiological measurement Mar 27, 2018
OBJECTIVE: Delirium is an important syndrome found in patients in the intensive care unit (ICU), however, it is usually under-recognized during treatment. This study was performed to investigate whether delirious patients can be successfully distingu...
Electrocardiography Delirium Heart Rate Female Male Middle Aged Early Diagnosis Humans Machine Learning Prognosis Intensive Care Units
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A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single lead electrocardiograms of variable length.

Physiological measurement Mar 27, 2018
OBJECTIVE: Atrial fibrillation (AF) is a major cause of hospitalization and death in the United States. Moreover, as the average age of individuals increases around the world, early detection and diagnosis of AF become even more pressing. In this pap...
Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Humans Neural Networks, Computer
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Automatic food detection in egocentric images using artificial intelligence technology.

Public health nutrition Mar 26, 2018
OBJECTIVE: To develop an artificial intelligence (AI)-based algorithm which can automatically detect food items from images acquired by an egocentric wearable camera for dietary assessment.
(1)
Diet Records Dietetics Image Processing, Computer-Assisted Activities of Daily Living Photography Humans Artificial Intelligence Algorithms
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Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks.

IEEE journal of biomedical and health informatics Mar 26, 2018
Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment decisions, but can be challenging even for experienced radiologists. The diagnostic procedure is based on the detection and recognition of the different...
(2)
Image Interpretation, Computer-Assisted Semantics Lung Humans Supervised Machine Learning Lung Diseases, Interstitial Neural Networks, Computer Tomography, X-Ray Computed
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Intrinsically motivated reinforcement learning for human-robot interaction in the real-world.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2018
For a natural social human-robot interaction, it is essential for a robot to learn the human-like social skills. However, learning such skills is notoriously hard due to the limited availability of direct instructions from people to teach a robot. In...
Robotics Neural Networks, Computer Social Skills Deep Learning User-Computer Interface Humans
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Super-resolution musculoskeletal MRI using deep learning.

Magnetic resonance in medicine Mar 26, 2018
PURPOSE: To develop a super-resolution technique using convolutional neural networks for generating thin-slice knee MR images from thicker input slices, and compare this method with alternative through-plane interpolation methods.
Phantoms, Imaging Cartilage Diseases Knee Algorithms Deep Learning Pilot Projects Signal-To-Noise Ratio Osteoarthritis, Knee Imaging, Three-Dimensional Magnetic Resonance Imaging Humans
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Data Analysis Strategies in Medical Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research Mar 26, 2018
Radiographic imaging continues to be one of the most effective and clinically useful tools within oncology. Sophistication of artificial intelligence has allowed for detailed quantification of radiographic characteristics of tissues using predefined ...
Data Analysis Algorithms Precision Medicine Diagnostic Imaging Medical Oncology Humans Artificial Intelligence Machine Learning
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Automated detection and classification of the proximal humerus fracture by using deep learning algorithm.

Acta orthopaedica Mar 26, 2018
Background and purpose - We aimed to evaluate the ability of artificial intelligence (a deep learning algorithm) to detect and classify proximal humerus fractures using plain anteroposterior shoulder radiographs. Patients and methods - 1,891 images (...
Aged, 80 and over Young Adult Adult Algorithms Female Aged Area Under Curve Arthrography Shoulder Fractures Male Middle Aged Deep Learning Humans
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Deep learning in mammography and breast histology, an overview and future trends.

Medical image analysis Mar 26, 2018
Recent improvements in biomedical image analysis using deep learning based neural networks could be exploited to enhance the performance of Computer Aided Diagnosis (CAD) systems. Considering the importance of breast cancer worldwide and the promisin...
Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Phenotype Female Sensitivity and Specificity Humans Mammography Neural Networks, Computer Radiographic Image Interpretation, Computer-Assisted Algorithms Forecasting
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Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field.

NeuroImage Mar 26, 2018
Motor deficits are common outcomes of neurological conditions such as stroke. In order to design personalised motor rehabilitation programmes such as robot-assisted therapy, it would be advantageous to predict how a patient might respond to such trea...
Biomechanical Phenomena Male Prefrontal Cortex Robotics Electroencephalography Arm Female Young Adult Adult Adaptation, Physiological Humans Neural Pathways Motor Cortex Brain Waves Motor Activity
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