Humans
Showing 67231 to 67240 of 95995 articles
Deep active inference.
Biological cybernetics
Oct 22, 2018
This work combines the free energy principle and the ensuing active inference dynamics with recent advances in variational inference in deep generative models, and evolution strategies to introduce the "deep active inference" agent. This agent minimi...
Deep neural network improves fracture detection by clinicians.
Proceedings of the National Academy of Sciences of the United States of America
Oct 22, 2018
Suspected fractures are among the most common reasons for patients to visit emergency departments (EDs), and X-ray imaging is the primary diagnostic tool used by clinicians to assess patients for fractures. Missing a fracture in a radiograph often ha...
Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome.
EBioMedicine
Oct 22, 2018
BACKGROUND: Multicolor flow cytometry (MFC) analysis is widely used to identify minimal residual disease (MRD) after treatment for acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). However, current manual interpretation suffers from dr...
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.
Nature medicine
Oct 22, 2018
Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals, but the best treatment strategy remains uncertain. In particular, evidence suggests that current practices in the administration of intravenous fluids ...
Machine-learning-based automatic identification of fetal abdominal circumference from ultrasound images.
Physiological measurement
Oct 22, 2018
OBJECTIVE: Obstetricians mainly use ultrasound imaging for fetal biometric measurements. However, such measurements are cumbersome. Hence, there is urgent need for automatic biometric estimation. Automated analysis of ultrasound images is complicated...
Novel Neural Network Approach to Predict Drug-Target Interactions Based on Drug Side Effects and Genome-Wide Association Studies.
Human heredity
Oct 22, 2018
AIMS: We propose a novel machine learning approach to expand the knowledge about drug-target interactions. Our method may help to develop effective, less harmful treatment strategies and to enable the detection of novel indications for existing drugs...
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Electroencephalography-based machine learning for cognitive profiling in Parkinson's disease: Preliminary results.
Movement disorders : official journal of the Movement Disorder Society
Oct 21, 2018
BACKGROUND: Cognitive symptoms are common in patients with Parkinson's disease. Characterization of a patient's cognitive profile is an essential step toward the identification of predictors of cognitive worsening.
Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS.
Journal of cardiovascular computed tomography
Oct 21, 2018
BACKGROUND: To determine whether machine learning with histogram analysis of coronary CT angiography (CCTA) yields higher diagnostic performance for coronary plaque characterization than the conventional cut-off method using the median CT number.
Predictive Value of Tests
Coronary Angiography
Ultrasonography, Interventional
Coronary Vessels
Multidetector Computed Tomography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Humans
Reproducibility of Results
Aged
Male
Machine Learning
Retrospective Studies
Female
Plaque, Atherosclerotic
Computed Tomography Angiography
Predicting Advanced Prostate Cancer from Modeling Early Indications in Biopsy and Prostatectomy Samples via Transductive Semi-Supervised Survival Analysis.
BioMed research international
Oct 21, 2018
Prostate cancer is the most prevalent form of cancer and the second most common cause of cancer deaths among men in the United States. Accurate prognosis is important as it is the principal factor in determining the treatment plan. Prostate cancer is...
Therapeutic drug monitoring of levetiracetam in daily clinical practice: high-performance liquid chromatography versus immunoassay.
European journal of hospital pharmacy : science and practice
Oct 20, 2018
OBJECTIVES: Although levetiracetam presents an easy dosing and tolerability, therapeutic drug monitoring may be recommended in certain situations. Measurement of levetiracetam in serum plasma is commonly done by high performance liquid chromatography...
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