AIMC Topic: Humans
Showing 66541 to 66550 of 95995 articles
Using artificial neural network to investigate physiological changes and cerium oxide nanoparticles and cadmium uptake by Brassica napus plants.
Environmental pollution (Barking, Essex : 1987)
Dec 12, 2018
Heavy metals and emerging engineered nanoparticles (ENPs) are two current environmental concerns that have attracted considerable attention. Cerium oxide nanoparticles (CeONPs) are now used in a plethora of industrial products, while cadmium (Cd) is ...
Unsupervised pathology detection in medical images using conditional variational autoencoders.
International journal of computer assisted radiology and surgery
Dec 12, 2018
PURPOSE: Pathology detection in medical image data is an important but a rather complicated task. In particular, the big variability of the pathologies is a challenge to automatic detection methods and even to machine learning methods. Supervised alg...
Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial.
Pediatric cardiology
Dec 12, 2018
Artificial intelligence (AI) has potential to improve the accuracy of screening for valvular and congenital heart disease by auscultation. However, despite recent advances in signal processing and classification algorithms focused on heart sounds, cl...
Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRI.
Computer methods and programs in biomedicine
Dec 12, 2018
OBJECTIVE: This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN).
Applying Machine Learning Algorithms to Segment High-Cost Patient Populations.
Journal of general internal medicine
Dec 12, 2018
BACKGROUND: Efforts to improve the value of care for high-cost patients may benefit from care management strategies targeted at clinically distinct subgroups of patients.
Knowledge base toward understanding actionable alterations and realizing precision oncology.
International journal of clinical oncology
Dec 12, 2018
In Japan, the National Cancer Center and university hospitals have initiated next-generation sequencing-based in vitro diagnostic testing for cancer patients as a method of clinical sequencing. Based on the molecular alterations detected, physicians ...
The Doctor-Patient Relationship With Artificial Intelligence.
AJR. American journal of roentgenology
Dec 12, 2018
OBJECTIVE: The doctor-patient relationship has been evolving from benevolent paternalism to a more patient-centered relationship in the modern era. Although artificial intelligence (AI) has the potential to improve nearly every aspect of health care,...
Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.
AJR. American journal of roentgenology
Dec 12, 2018
OBJECTIVE: The purpose of this study is to determine whether a convolutional neural network (CNN) can predict the maximum standardized uptake value (SUV) of lymph nodes in patients with cancer using the unenhanced CT images from a PET/CT examination,...
Young Adult
Adult
Middle Aged
Neoplasms
Tomography, X-Ray Computed
Positron Emission Tomography Computed Tomography
Humans
Imaging, Three-Dimensional
Aged
Radiopharmaceuticals
Lymphatic Metastasis
Aged, 80 and over
Neural Networks, Computer
Fluorodeoxyglucose F18
Predictive Value of Tests
Retrospective Studies
Proof of Concept Study
Hypoxia-responsive micelles self-assembled from amphiphilic block copolymers for the controlled release of anticancer drugs.
Journal of materials chemistry. B
Dec 12, 2018
Amphiphilic block copolymers poly(ethylene glycol)-block-poly(methacrylic acid-co-2-nitroimidazole methacrylate) (PEG-b-P(MAA-co-NIMA)) were synthesized by the combination of atom transfer radical polymerization (ATRP), hydrolysis and EDC reactions. ...
Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.
Respiratory medicine
Dec 12, 2018
BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modified Medical Research Council (mMRC) dyspnea scale is a widely used questionnaire to assess dyspnea. However, the relationship of the mMRC dyspnea scale ...
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