AIMC Topic: Aged, 80 and over

Clear Filters Showing 2311 to 2320 of 3475 articles

In vitro activity of tedizolid and other comparator drugs in methicillin-resistant Staphylococcus aureus isolates in skin and soft tissue infections in seven Colombian hospitals.

Biomedica : revista del Instituto Nacional de Salud Dec 1, 2018
Introduction: Methicillin-resistant Staphylococcus aureus (MRSA) causes severe skin and soft tissue infections in hospitals and, more recently, in the community. Tedizolid is a new second-generation oxazolidinone derivative having greater in vitro po...
Male Middle Aged Hospitals Microbial Sensitivity Tests Adolescent Female Aged Aged, 80 and over Young Adult Adult Tetrazoles Staphylococcal Skin Infections Humans Methicillin-Resistant Staphylococcus aureus Anti-Bacterial Agents Colombia Prospective Studies Oxazolidinones Soft Tissue Infections
View on PubMed DOI

Can low-frequency guided waves at the tibia paired with machine learning differentiate between healthy and osteopenic/osteoporotic subjects? A pilot study.

Ultrasonics Nov 30, 2018
PURPOSE: Axial transmission quantitative acoustics (ax-QA) has shown to be a promising tool for assessing bone health and properties in a safe, inexpensive, and portable manner. This study investigated the efficacy of low-frequency ax-QA measured at ...
Diagnosis, Differential Absorptiometry, Photon Lumbar Vertebrae Aged, 80 and over Femur Neck Tibia Humans Ultrasonics Radius Adult Bone Density Bone Diseases, Metabolic Middle Aged Osteoporosis Pilot Projects Female Support Vector Machine Aged
View on PubMed DOI

Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.

PLoS medicine Nov 30, 2018
BACKGROUND: Non-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical courses and outcomes, even within the same tumor stage. This study explores deep learning applications in medical imaging allowing for the automated quantifica...
Retrospective Studies Tomography, X-Ray Computed Clinical Decision-Making Female Reproducibility of Results Risk Factors Aged Aged, 80 and over Adult Male Middle Aged Humans Predictive Value of Tests Risk Assessment Neoplasm Staging Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Deep Learning Preliminary Data Lung Neoplasms Carcinoma, Non-Small-Cell Lung
View on PubMed DOI

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy.

NeuroImage Nov 29, 2018
Whole brain segmentation from structural magnetic resonance imaging (MRI) is a prerequisite for most morphological analyses, but is computationally intense and can therefore delay the availability of image markers after scan acquisition. We introduce...
Magnetic Resonance Imaging Datasets as Topic Neuroimaging Neuroanatomy Young Adult Adult Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Brain Aged Aged, 80 and over
View on PubMed DOI

Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning.

AJNR. American journal of neuroradiology Nov 29, 2018
BACKGROUND AND PURPOSE: Alberta Stroke Program Early CT Score (ASPECTS) was devised as a systematic method to assess the extent of early ischemic change on noncontrast CT (NCCT) in patients with acute ischemic stroke (AIS). Our aim was to automate AS...
Machine Learning Neuroimaging Tomography, X-Ray Computed Alberta Female Diffusion Magnetic Resonance Imaging Aged Aged, 80 and over Sensitivity and Specificity Humans Male Middle Aged Stroke Brain Ischemia Image Interpretation, Computer-Assisted
View on PubMed DOI

Refining Convolutional Neural Network Detection of Small-Bowel Obstruction in Conventional Radiography.

AJR. American journal of roentgenology Nov 26, 2018
OBJECTIVE: The purpose of this study was to evaluate improvement of convolutional neural network detection of high-grade small-bowel obstruction on conventional radiographs with increased training set size.
Middle Aged Adolescent Radiography Intestinal Obstruction Intestine, Small Aged Aged, 80 and over Young Adult Adult Male Humans Neural Networks, Computer Retrospective Studies Female
View on PubMed DOI

Efficient sleep classification based on entropy features and a support vector machine classifier.

Physiological measurement Nov 26, 2018
OBJECTIVE: Sleep quality helps to reflect on the physical and mental condition, and efficient sleep stage scoring promises considerable advantages to health care. The aim of this study is to propose a simple and efficient sleep classification method ...
Male Middle Aged Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Heart Rate Humans Female Aged Aged, 80 and over Adult Healthy Volunteers Sleep Entropy Electrooculography
View on PubMed DOI

Machine Learning Algorithms Utilizing Functional Respiratory Imaging May Predict COPD Exacerbations.

Academic radiology Nov 23, 2018
RATIONALE AND OBJECTIVES: Acute chronic obstructive pulmonary disease exacerbations (AECOPD) have a significant negative impact on the quality of life and accelerate progression of the disease. Functional respiratory imaging (FRI) has the potential t...
Middle Aged Disease Progression Support Vector Machine Predictive Value of Tests Tidal Volume Airway Resistance Functional Residual Capacity Female Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Male Humans Retrospective Studies
View on PubMed DOI

The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Emergency medicine Australasia : EMA Nov 23, 2018
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.
Forecasting Retrospective Studies Female Aged Aged, 80 and over Adult Humans Machine Learning Triage Area Under Curve Emergency Service, Hospital Bayes Theorem Patient Admission New South Wales Male Middle Aged Adolescent ROC Curve Logistic Models
View on PubMed DOI

DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs.

Ophthalmology Nov 22, 2018
PURPOSE: In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AMD. However, its manual use requires the time-consuming partic...
Photography Retinal Drusen Geographic Atrophy Aged, 80 and over Sensitivity and Specificity Humans Prospective Studies Severity of Illness Index Male Female Middle Aged Diagnosis, Computer-Assisted Reproducibility of Results Disease Progression Deep Learning Risk Factors Models, Theoretical Aged Area Under Curve Diagnostic Techniques, Ophthalmological
View on PubMed DOI
Popular Topics
Recent Journals