AIMC Topic: Humans

Showing 65981 to 65990 of 95995 articles
Clear Filters

Artificial Intelligence Transforms the Future of Health Care.

The American journal of medicine Jan 31, 2019
Life sciences researchers using artificial intelligence (AI) are under pressure to innovate faster than ever. Large, multilevel, and integrated data sets offer the promise of unlocking novel insights and accelerating breakthroughs. Although more data...
Translational Research, Biomedical Epidemics Delivery of Health Care Artificial Intelligence Drug Discovery Machine Learning Decision Support Systems, Clinical Forecasting Humans
View on PubMed DOI

Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

Ophthalmology. Retina Jan 31, 2019
PURPOSE: Accurate image-based ophthalmic diagnosis relies on fundus image clarity. This has important implications for the quality of ophthalmic diagnoses and for emerging methods such as telemedicine and computer-based image analysis. The purpose of...
ROC Curve Image Processing, Computer-Assisted Female Retinopathy of Prematurity Ophthalmoscopy Infant, Newborn Humans Male Neural Networks, Computer Algorithms
View on PubMed DOI

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.

Medical image analysis Jan 31, 2019
Obtaining expert labels in clinical imaging is difficult since exhaustive annotation is time-consuming. Furthermore, not all possibly relevant markers may be known and sufficiently well described a priori to even guide annotation. While supervised le...
Retina Humans Algorithms Diagnostic Techniques, Ophthalmological Neural Networks, Computer Image Processing, Computer-Assisted Information Theory Tomography, Optical Coherence
View on PubMed DOI

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 31, 2019
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field of electromyography-based gesture reco...
Humans Neural Networks, Computer Wavelet Analysis Algorithms Transfer, Psychology Databases, Factual Wearable Electronic Devices Deep Learning Gestures Electromyography
View on PubMed DOI

Potential EEG biomarkers of sedation doses in intensive care patients unveiled by using a machine learning approach.

Journal of neural engineering Jan 31, 2019
OBJECTIVE: Sedation of neurocritically ill patients is one of the most challenging situation in ICUs. Quantitative knowledge on the sedation effect on brain activity in that complex scenario could help to uncover new markers for sedation assessment. ...
Propofol Brain Injuries Dose-Response Relationship, Drug Middle Aged Cohort Studies Intraoperative Neurophysiological Monitoring Critical Care Midazolam Hypnotics and Sedatives Infusions, Intravenous Electroencephalography Humans Machine Learning Prospective Studies Female Adult Male
View on PubMed DOI

Elasticity Versus Hyperelasticity Considerations in Quasistatic Modeling of a Soft Finger-Like Robotic Appendage for Real-Time Position and Force Estimation.

Soft robotics Jan 31, 2019
Various methods based on hyperelastic assumptions have been developed to address the mathematical complexities of modeling motion and deformation of continuum manipulators. In this study, we propose a quasistatic approach for 3D modeling and real-tim...
Humans Elasticity Fingers Models, Biological Physical Phenomena Motion Stress, Mechanical Computer Simulation Robotics Robotic Surgical Procedures
View on PubMed DOI

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 31, 2019
Automatic sleep staging has been often treated as a simple classification problem that aims at determining the label of individual target polysomnography epochs one at a time. In this paper, we tackle the task as a sequence-to-sequence classification...
(3)
Sleep Stages Attention Polysomnography Electrooculography Reproducibility of Results Electroencephalography Electromyography Software Algorithms Databases, Factual Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

A model of event knowledge.

Psychological review Jan 31, 2019
Our knowledge of events and situations in the world plays a critical role in our ability to understand what is happening around us, to predict what might happen next, and to comprehend language. What has not been so clear is the form and structure of...
Behavior Humans Executive Function Neural Networks, Computer Thinking Learning Models, Psychological Knowledge
View on PubMed DOI

Pulmonary nodule segmentation with CT sample synthesis using adversarial networks.

Medical physics Jan 31, 2019
PURPOSE: Segmentation of pulmonary nodules is critical for the analysis of nodules and lung cancer diagnosis. We present a novel framework of segmentation for various types of nodules using convolutional neural networks (CNNs).
(1)
Humans Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Multiple Pulmonary Nodules Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed
View on PubMed DOI

Recent technical development of artificial intelligence for diagnostic medical imaging.

Japanese journal of radiology Jan 31, 2019
Deep learning has caused a third boom of artificial intelligence and great changes of diagnostic medical imaging systems such as radiology, pathology, retinal imaging, dermatology inspection, and endoscopic diagnosis will be expected in the near futu...
Artificial Intelligence Deep Learning Diagnostic Imaging Humans
View on PubMed DOI
Popular Topics
Recent Journals