Humans

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Artificial Intelligence and the Practice of Radiology: An Alternative View.

Journal of the American College of Radiology : JACR May 11, 2018
(1)
Diagnostic Errors Radiology Problem Solving Humans Artificial Intelligence Machine Learning
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Adaptive Neural Control of Pure-Feedback Nonlinear Systems With Event-Triggered Communications.

IEEE transactions on neural networks and learning systems May 10, 2018
This paper is concerned with the adaptive event-triggered control problem for a class of pure-feedback nonlinear systems. Unlike the existing results where the control execution is periodic, the new proposed scheme updates the controller and the neur...
(2)
Algorithms Computer Simulation Feedback Communication Humans Models, Neurological Nonlinear Dynamics Neural Networks, Computer
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A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks.

IEEE transactions on neural networks and learning systems May 10, 2018
Mean square error (MSE) is the most prominent criterion in training neural networks and has been employed in numerous learning problems. In this paper, we suggest a group of novel robust information theoretic backpropagation (BP) methods, as correntr...
Pattern Recognition, Automated Systems Theory Algorithms Models, Neurological Information Storage and Retrieval Humans Neural Networks, Computer Artificial Intelligence
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DRINet for Medical Image Segmentation.

IEEE transactions on medical imaging May 10, 2018
Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The U-Net architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many di...
Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Abdomen Neural Networks, Computer Image Interpretation, Computer-Assisted Algorithms Brain
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Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers.

Artificial intelligence in medicine May 10, 2018
OBJECTIVE: Death certificates are an invaluable source of cancer mortality statistics. However, this value can only be realised if accurate, quantitative data can be extracted from certificates-an aim hampered by both the volume and variable quality ...
Data Accuracy Humans Rare Diseases Databases, Factual New South Wales Reproducibility of Results Cause of Death Neoplasms Death Certificates Registries Support Vector Machine Data Mining Natural Language Processing
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Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.

AJNR. American journal of neuroradiology May 10, 2018
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new emphasis on the integration of genetic information for gliomas. While tissue sampling remains the criterion standard, noninvasive imaging techniques may provide complimenta...
Retrospective Studies Female Adult Humans Deep Learning Glioma Mutation Brain Neoplasms Male Middle Aged Promoter Regions, Genetic Isocitrate Dehydrogenase DNA Modification Methylases DNA Repair Enzymes Tumor Suppressor Proteins
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Advancing Predictive Hepatotoxicity at the Intersection of Experimental, in Silico, and Artificial Intelligence Technologies.

Chemical research in toxicology May 10, 2018
Adverse drug reactions, particularly those that result in drug-induced liver injury (DILI), are a major cause of drug failure in clinical trials and drug withdrawals. Hepatotoxicity-mediated drug attrition occurs despite substantial investments of ti...
Humans Computer Simulation Animals Drug-Related Side Effects and Adverse Reactions Toxicology Deep Learning Chemical and Drug Induced Liver Injury Liver Models, Biological
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Imaging, Health Record, and Artificial Intelligence: Hype or Hope?

Current cardiology reports May 10, 2018
PURPOSE OF REVIEW: The review is focused on "digital health", which means advanced analytics based on multi-modal data. The "Health Care Internet of Things", which uses sensors, apps, and remote monitoring could provide continuous clinical informatio...
Electronic Health Records Diffusion of Innovation Cardiac Imaging Techniques Delivery of Health Care Precision Medicine Humans Artificial Intelligence
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Fingerprint-Based Machine Learning Approach to Identify Potent and Selective 5-HTR Ligands.

Molecules (Basel, Switzerland) May 10, 2018
The identification of subtype-selective GPCR (G-protein coupled receptor) ligands is a challenging task. In this study, we developed a computational protocol to find compounds with 5-HTR versus 5-HTR selectivity. Our approach employs the hierarchical...
Serotonin Receptor, Serotonin, 5-HT2B Humans Machine Learning Models, Molecular Drug Evaluation, Preclinical Ligands Binding Sites
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Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network.

Biomedical engineering online May 10, 2018
BACKGROUND: With spectral methods, noninvasive determination of blood hyperviscosity in vivo is very potential and meaningful in clinical diagnosis. In this study, 67 male subjects (41 health, and 26 hyperviscosity according to blood sample analysis ...
Tongue Spectrum Analysis Blood Viscosity Humans Neural Networks, Computer Male Aged Middle Aged Adult Principal Component Analysis
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