Humans

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Complicated versus complicated.

The Journal of thoracic and cardiovascular surgery Apr 12, 2018
Humans Anti-Bacterial Agents Robotic Surgical Procedures Mitral Valve Surgeons Robotics
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Learning-based endovascular navigation through the use of non-rigid registration for collaborative robotic catheterization.

International journal of computer assisted radiology and surgery Apr 12, 2018
PURPOSE: Endovascular intervention is limited by two-dimensional intraoperative imaging and prolonged procedure times in the presence of complex anatomies. Robotic catheter technology could offer benefits such as reduced radiation exposure to the cli...
Robotic Surgical Procedures Vascular Diseases Aorta, Thoracic Phantoms, Imaging Endovascular Procedures Catheters Humans Robotics
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Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning.

Computers in biology and medicine Apr 12, 2018
Digital breast tomosynthesis (DBT) was developed in the field of breast cancer screening as a new tomographic technique to minimize the limitations of conventional digital mammography breast screening methods. A computer-aided detection (CAD) framewo...
Breast Deep Learning Mammography Radiographic Image Interpretation, Computer-Assisted Female Breast Neoplasms Humans Algorithms
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Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.

Journal of the American Heart Association Apr 12, 2018
BACKGROUND: Whereas heart failure (HF) is a complex clinical syndrome, conventional approaches to its management have treated it as a singular disease, leading to inadequate patient care and inefficient clinical trials. We hypothesized that applying ...
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Prognosis Retrospective Studies Female Machine Learning Algorithms Phenotype Aged, 80 and over Survival Rate Male Ventricular Function, Left Reproducibility of Results Sweden Aged Humans Angiotensin Receptor Antagonists Angiotensin-Converting Enzyme Inhibitors Cardiovascular Agents Adrenergic beta-Antagonists Registries Heart Failure Diuretics Stroke Volume Middle Aged Follow-Up Studies
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Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature.

Journal of biomedical semantics Apr 12, 2018
BACKGROUND: Automatic identification of term variants or acceptable alternative free-text terms for gene and protein names from the millions of biomedical publications is a challenging task. Ontologies, such as the Cardiovascular Disease Ontology (CV...
Molecular Sequence Annotation ROC Curve PubMed Biological Ontologies Cardiovascular Diseases Deep Learning Humans
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Why Deep Learning Is Changing the Way to Approach NGS Data Processing: A Review.

IEEE reviews in biomedical engineering Apr 12, 2018
Nowadays, big data analytics in genomics is an emerging research topic. In fact, the large amount of genomics data originated by emerging next-generation sequencing (NGS) techniques requires more and more fast and sophisticated algorithms. In this co...
Genomics Animals Humans Sequence Analysis, DNA Deep Learning High-Throughput Nucleotide Sequencing Software Internet Big Data Algorithms
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Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.

PloS one Apr 12, 2018
The World Health Organization (WHO) has clear guidelines regarding the use of Ki67 index in defining the proliferative rate and assigning grade for pancreatic neuroendocrine tumor (NET). WHO mandates the quantification of Ki67 index by counting at le...
Ki-67 Antigen Pancreatic Neoplasms Machine Learning Molecular Imaging Humans Image Processing, Computer-Assisted Neuroendocrine Tumors
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Fuzzy risk assessment for mechanized underground coal mines in Turkey.

International journal of occupational safety and ergonomics : JOSE Apr 11, 2018
The decision matrix method is preferred as a measure of risk evaluation considering the risk value obtained by two risk factors such as the likelihood and severity of a hazard. However, it has some deficiencies since a crisp risk score is assigned fo...
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Humans Algorithms Safety Management Turkey Occupational Health Risk Factors Coal Mining Risk Assessment Fuzzy Logic
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A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection.

International journal of neural systems Apr 11, 2018
Functional brain network (FBN) has become very popular to analyze the interaction between cortical regions in the last decade. But researchers always spend a long time to search the best way to compute FBN for their specific studies. The purpose of t...
Cerebral Cortex Connectome Nerve Net Deep Learning Electroencephalography Humans Signal Processing, Computer-Assisted Algorithms Adult
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Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement.

The Journal of surgical research Apr 11, 2018
BACKGROUND: Early identification of critically ill patients who will require prolonged mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use machine learning to identify patients at risk for PMV and tracheostom...
Tracheostomy Supervised Machine Learning Patient Selection Critical Care Time Factors Humans Treatment Outcome Decision Support Techniques Feasibility Studies Databases, Factual Severity of Illness Index Risk Assessment Critical Illness Length of Stay Respiration, Artificial Intensive Care Units
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