Humans

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Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

Gastrointestinal endoscopy Aug 16, 2018
BACKGROUND AND AIMS: The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made rem...
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Tumor Burden Predictive Value of Tests Esophageal Neoplasms Japan Humans Aged, 80 and over Sensitivity and Specificity Male Deep Learning Adenocarcinoma Neural Networks, Computer Female Middle Aged Artificial Intelligence Carcinoma, Squamous Cell Retrospective Studies Aged Diagnosis, Computer-Assisted
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Robotic TMS mapping of motor cortex in the developing brain.

Journal of neuroscience methods Aug 16, 2018
BACKGROUND: The human motor cortex can be mapped safely and painlessly with transcranial magnetic stimulation (TMS) to explore neurophysiology in health and disease. Human error likely contributes to heterogeneity of such TMS measures. Here, we aimed...
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Humans Evoked Potentials, Motor Female Male Motor Cortex Adolescent Transcranial Magnetic Stimulation Brain Mapping Robotics
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Re: Granieri et al.: Robotic Y-V Plasty fpr Recalcitrant Bladder Neck Contracture (Urology 2018;117:163-165).

Urology Aug 16, 2018
Humans Robotics Robotic Surgical Procedures Urinary Bladder Neck Obstruction Contracture
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iRNA-2OM: A Sequence-Based Predictor for Identifying 2'-O-Methylation Sites in Homo sapiens.

Journal of computational biology : a journal of computational molecular cell biology Aug 16, 2018
2'-O-methylation plays an important biological role in gene expression. Owing to the explosive increase in genomic sequencing data, it is necessary to develop a method for quickly and efficiently identifying whether a sequence contains the 2'-O-methy...
Humans Software RNA Methylation Genome, Human RNA Interference Algorithms Computational Biology Support Vector Machine
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Transfer learning for classification of cardiovascular tissues in histological images.

Computer methods and programs in biomedicine Aug 16, 2018
BACKGROUND AND OBJECTIVE: Automatic classification of healthy tissues and organs based on histology images is an open problem, mainly due to the lack of automated tools. Solutions in this regard have potential in educational medicine and medical prac...
Support Vector Machine Algorithms Humans Reference Values Models, Cardiovascular Neural Networks, Computer Cardiovascular System Deep Learning Histological Techniques Machine Learning Image Processing, Computer-Assisted Models, Anatomic
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Automated ontology generation framework powered by linked biomedical ontologies for disease-drug domain.

Computer methods and programs in biomedicine Aug 16, 2018
OBJECTIVE AND BACKGROUND: The exponential growth of the unstructured data available in biomedical literature, and Electronic Health Record (EHR), requires powerful novel technologies and architectures to unlock the information hidden in the unstructu...
Decision Support Systems, Clinical Knowledge Bases Drug Therapy Data Mining Humans Semantics Machine Learning Biological Ontologies Algorithms Disease
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Predicting postoperative facial swelling following impacted mandibular third molars extraction by using artificial neural networks evaluation.

Scientific reports Aug 16, 2018
Patients' postoperative facial swelling following third molars extraction may have both biological impacts and social impacts. The purpose of this study was to evaluate the accuracy of artificial neural networks in the prediction of the postoperative...
Face Edema Tooth, Impacted Postoperative Complications Molar, Third Tooth Extraction Algorithms Female Reproducibility of Results Young Adult Adult Male Humans Neural Networks, Computer
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A Bio-inspired Motivational Decision Making System for Social Robots Based on the Perception of the User.

Sensors (Basel, Switzerland) Aug 16, 2018
Nowadays, many robotic applications require robots making their own decisions and adapting to different conditions and users. This work presents a biologically inspired decision making system, based on drives, motivations, wellbeing, and self-learnin...
Robotics Motivation Perception Humans Learning Decision Making
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An Associative Memory Approach to Healthcare Monitoring and Decision Making.

Sensors (Basel, Switzerland) Aug 16, 2018
The rapid proliferation of connectivity, availability of ubiquitous computing, miniaturization of sensors and communication technology, have changed healthcare in all its areas, creating the well-known healthcare paradigm of e-Health. In this paper, ...
Humans Coronary Artery Disease Datasets as Topic Biometry Female Sensitivity and Specificity Machine Learning Male Algorithms Clinical Decision-Making
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Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning.

IEEE transactions on visualization and computer graphics Aug 15, 2018
We propose a reinforcement learning approach for real-time exposure control of a mobile camera that is personalizable. Our approach is based on Markov Decision Process (MDP). In the camera viewfinder or live preview mode, given the current frame, our...
Photography Lighting Markov Chains Semantics Databases, Factual Humans Image Processing, Computer-Assisted Neural Networks, Computer
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