AIMC Topic: Humans

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Digital health at fifteen: more human (more needed).

BMC medicine Mar 18, 2019
There is growing appreciation that the success of digital health - whether digital tools, digital interventions or technology-based change strategies - is linked to the extent to which human factors are considered throughout design, development and i...
Delivery of Health Care Female Male Humans Machine Learning Time Factors Telemedicine Ergonomics
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3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture.

Physics in medicine and biology Mar 18, 2019
The treatment planning process for patients with head and neck (H&N) cancer is regarded as one of the most complicated due to large target volume, multiple prescription dose levels, and many radiation-sensitive critical structures near the target. Tr...
Adult Middle Aged Deep Learning Humans Aged, 80 and over Algorithms Young Adult Adolescent Aged Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Organs at Risk Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Modeling second-order boundary perception: A machine learning approach.

PLoS computational biology Mar 18, 2019
Visual pattern detection and discrimination are essential first steps for scene analysis. Numerous human psychophysical studies have modeled visual pattern detection and discrimination by estimating linear templates for classifying noisy stimuli defi...
Contrast Sensitivity Psychophysics Photic Stimulation Humans Visual Perception Machine Learning Models, Theoretical
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Contemporary pharmacogenetic assays in view of the PharmGKB database.

Pharmacogenomics Mar 18, 2019
AIM: Six modern PGx assays were compared with the Pharmacogenomics Knowledge Base (PharmGKB) to determine the proportion of the currently known PGx genotypes that are assessed by these assays.
Databases, Factual Pharmacogenetics Genotype Knowledge Bases Pharmacogenomic Testing Humans
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A Fuzzy Comprehensive CS-SVR Model-based health status evaluation of radar.

PloS one Mar 18, 2019
The purpose of Fuzzy Comprehensive CS-SVR Model (FCCS-SVR) is to evaluate and monitor the health status of a radar equipment and then keep its safe operation. Due to reasons such as few samples, slow changes and the nonlinear structure of data of fau...
Computer Simulation Radar Health Status Humans Fuzzy Logic Algorithms
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Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important.

NeuroImage Mar 17, 2019
Combining neuroimaging and clinical information for diagnosis, as for example behavioral tasks and genetics characteristics, is potentially beneficial but presents challenges in terms of finding the best data representation for the different sources ...
Humans Alzheimer Disease Machine Learning Image Interpretation, Computer-Assisted Algorithms Neuroimaging Depression
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Machine Learning Enhances the Efficiency of Cognitive Screenings for Primary Care.

Journal of geriatric psychiatry and neurology Mar 17, 2019
BACKGROUND: Incorporation of cognitive screening into the busy primary care will require the development of highly efficient screening tools. We report the convergence validity of a very brief, self-administered, computerized assessment protocol agai...
Humans Machine Learning Female Cognition Disorders Neuropsychological Tests Male Primary Health Care Mass Screening Reproducibility of Results Aged
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Application of convolutional neural networks for evaluating Helicobacter pylori infection status on the basis of endoscopic images.

Scandinavian journal of gastroenterology Mar 17, 2019
BACKGROUND AND AIM: We recently reported the role of artificial intelligence in the diagnosis of Helicobacter pylori (H. pylori) gastritis on the basis of endoscopic images. However, that study included only H. pylori-positive and -negative patients,...
Gastritis Japan Humans Helicobacter Infections Neural Networks, Computer Helicobacter pylori Image Processing, Computer-Assisted Endoscopy, Gastrointestinal
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MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction.

Methods (San Diego, Calif.) Mar 16, 2019
The human microbiome plays a number of critical roles, impacting almost every aspect of human health and well-being. Conditions in the microbiome have been linked to a number of significant diseases. Additionally, revolutions in sequencing technology...
Humans Microbiota Metagenomics Metagenome Machine Learning Deep Learning Algorithms Diabetes Mellitus, Type 2 Obesity
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Automatic Segmentation of the Prostate on CT Images Using Deep Neural Networks (DNN).

International journal of radiation oncology, biology, physics Mar 16, 2019
PURPOSE: Recent advances in deep neural networks (DNNs) have unlocked opportunities for their application for automatic image segmentation. We have evaluated a DNN-based algorithm for automatic segmentation of the prostate gland on a large cohort of ...
Male Prostatic Neoplasms Prostate Radiotherapy Planning, Computer-Assisted Machine Learning Algorithms Retrospective Studies Humans Neural Networks, Computer
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