AIMC Topic: Humans

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Integrating spatial configuration into heatmap regression based CNNs for landmark localization.

Medical image analysis Mar 25, 2019
In many medical image analysis applications, only a limited amount of training data is available due to the costs of image acquisition and the large manual annotation effort required from experts. Training recent state-of-the-art machine learning met...
Anatomic Landmarks Hand Cephalometry Spine Humans Neural Networks, Computer Imaging, Three-Dimensional Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging
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The day when computers read between lines.

Japanese journal of radiology Mar 25, 2019
There is a growing notion that artificial general intelligence (AGI) will replace some of the work done by trained professionals, including physicians. This idea, however, seems to have logical leap; herein, we discuss three problems that are signifi...
Electronic Health Records Clinical Decision-Making Humans Artificial Intelligence
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Counteracting Electrode Shifts in Upper-Limb Prosthesis Control via Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 25, 2019
Research on machine learning approaches for upper-limb prosthesis control has shown impressive progress. However, translating these results from the lab to patient's everyday lives remains a challenge because advanced control schemes tend to break do...
Humans Patient Satisfaction Machine Learning Transfer, Psychology Artificial Limbs Pattern Recognition, Automated Algorithms Prosthesis Design Signal Processing, Computer-Assisted Upper Extremity Electrodes Electromyography Amputees
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Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical Toxicity.

Chemical research in toxicology Mar 25, 2019
In 2016, the Frank R. Lautenberg Chemical Safety for the 21st Century Act became the first US legislation to advance chemical safety evaluations by utilizing novel testing approaches that reduce the testing of vertebrate animals. Central to this miss...
Animals Computational Biology Toxicity Tests Humans Artificial Intelligence
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Deep-learning augmented RNA-seq analysis of transcript splicing.

Nature methods Mar 25, 2019
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on high sequencing coverage. We report DARTS (https://github.com/Xinglab/DARTS), a computational framework that integrates deep-learning-based predictions...
Alternative Splicing K562 Cells RNA Splicing Exons Sequence Analysis, RNA RNA Humans Models, Statistical Reproducibility of Results Epigenomics High-Throughput Nucleotide Sequencing Algorithms Bayes Theorem Gene Expression Profiling Hep G2 Cells Gene Expression Regulation Signal Processing, Computer-Assisted Deep Learning
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Enhancing WIKISTIM.org Using Machine Learning Approaches.

Neuromodulation : journal of the International Neuromodulation Society Mar 25, 2019
Machine Learning Internet Clinical Trials as Topic Humans
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A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation.

Journal of medical systems Mar 25, 2019
Artificial intelligence algorithms have been used in a wide range of applications in clinical aided diagnosis, such as automatic MR image segmentation and seizure EEG signal analyses. In recent years, many machine learning-based automatic MR brain im...
Humans Algorithms Brain Reproducibility of Results Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic
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Coronary Calcium Detection Based on Improved Deep Residual Network in Mimics.

Journal of medical systems Mar 25, 2019
Coronary calcium detection in medicine image processing is a hot research topic. According to the low resolution and complex background in medicine image, an improved coronary calcium detection algorithm based on the Single Shot MultiBox Detector (SS...
Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Image Processing, Computer-Assisted Humans Calcinosis Neural Networks, Computer Coronary Artery Disease Machine Learning
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Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study.

Scientific reports Mar 25, 2019
Identifying progressive early chronic kidney disease (CKD) patients at a health checkup is a good opportunity to improve their prognosis. However, it is difficult to identify them using common health tests. This worksite-based cohort study for 7 year...
Middle Aged Disease Progression Renal Insufficiency, Chronic Glomerular Filtration Rate Kidney Function Tests Female Humans Bayes Theorem Adult Artificial Intelligence Male Prognosis
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Automatic diagnosis of neurological diseases using MEG signals with a deep neural network.

Scientific reports Mar 25, 2019
The application of deep learning to neuroimaging big data will help develop computer-aided diagnosis of neurological diseases. Pattern recognition using deep learning can extract features of neuroimaging signals unique to various neurological disease...
Reproducibility of Results Sensitivity and Specificity Male Brain Mapping Humans Diagnosis, Differential Case-Control Studies Neural Networks, Computer Epilepsy Image Processing, Computer-Assisted Female Computational Biology Nervous System Diseases Magnetoencephalography
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