AIMC Topic: Aged, 80 and over

Clear Filters Showing 2421 to 2430 of 3475 articles

Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration.

International ophthalmology May 9, 2018
PURPOSE: To predict exudative age-related macular degeneration (AMD), we combined a deep convolutional neural network (DCNN), a machine-learning algorithm, with Optos, an ultra-wide-field fundus imaging system.
Middle Aged Diagnosis, Computer-Assisted Deep Learning Ophthalmoscopy Wet Macular Degeneration Humans Neural Networks, Computer Aged, 80 and over Sensitivity and Specificity Algorithms Male Female Aged
View on PubMed DOI

Robot-Guided Neuronavigated Repetitive Transcranial Magnetic Stimulation (rTMS) in Central Neuropathic Pain.

Archives of physical medicine and rehabilitation May 9, 2018
OBJECTIVES: To confirm and extend previous results involving repetitive transcranial magnetic stimulation (rTMS) aimed at alleviating refractory central neuropathic pain (CNP). To evaluate pain relief in detail and to assess ongoing benefits after on...
Humans Prospective Studies Female Aged Aged, 80 and over Chronic Pain Motor Cortex Transcranial Magnetic Stimulation Robotics Adult Pain Measurement Male Pain Management Middle Aged Neuralgia Treatment Outcome Spinal Cord Injuries Brain Injuries
View on PubMed DOI

Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine.

Human brain mapping May 7, 2018
Different modalities such as structural MRI, FDG-PET, and CSF have complementary information, which is likely to be very useful for diagnosis of AD and MCI. Therefore, it is possible to develop a more effective and accurate AD/MCI automatic diagnosis...
Aged, 80 and over Male Middle Aged Deep Learning Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential Alzheimer Disease Positron-Emission Tomography Humans Algorithms Databases, Factual Female Aged
View on PubMed DOI

Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.

Autism research : official journal of the International Society for Autism Research May 7, 2018
Very little is known about the health problems experienced by individuals with autism spectrum disorder (ASD) throughout their life course. We retrospectively analyzed diagnostic codes associated with de-identified electronic health records using a m...
Electronic Health Records Female Infant, Newborn Aged Aged, 80 and over Humans Machine Learning Algorithms Autism Spectrum Disorder Retrospective Studies Infant Prevalence Comorbidity Adolescent Child, Preschool Child Young Adult Adult Sensitivity and Specificity Male Middle Aged Chronic Disease
View on PubMed DOI

MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 3, 2018
Accurate quantification of white matter hyperintensities (WMH) from Magnetic Resonance Imaging (MRI) is a valuable tool for the analysis of normal brain ageing or neurodegeneration. Reliable automatic extraction of WMH lesions is challenging due to t...
Male Middle Aged Magnetic Resonance Imaging Image Interpretation, Computer-Assisted White Matter Brain Female Aged Aged, 80 and over Humans Adult Neural Networks, Computer Algorithms
View on PubMed DOI

Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning.

Stroke May 2, 2018
BACKGROUND AND PURPOSE: Treatment options for patients with acute ischemic stroke depend on the volume of salvageable tissue. This volume assessment is currently based on fixed thresholds and single imagine modalities, limiting accuracy. We wish to d...
ROC Curve Fibrinolytic Agents Stroke Brain Ischemia Tissue Plasminogen Activator Diffusion Magnetic Resonance Imaging Young Adult Humans Adult Female Male Aged Middle Aged Aged, 80 and over Deep Learning
View on PubMed DOI

Robot Assisted Surgical Ward Rounds: Virtually Always There.

Journal of innovation in health informatics May 2, 2018
 While an explosion in technological sophistication has revolutionized surgery within the operating theatre, delivery of surgical ward-based care has seen little innovation.  Use of telepresence allowing off-site clinicians communicate with patients ...
Surveys and Questionnaires Virtual Reality Postoperative Care Robotics Remote Consultation Aged, 80 and over Adult Male Surgeons Middle Aged Teaching Rounds Humans Prospective Studies Female Aged
View on PubMed DOI

Localized instance fusion of MRI data of Alzheimer's disease for classification based on instance transfer ensemble learning.

Biomedical engineering online May 2, 2018
BACKGROUND: Diagnosis of Alzheimer's disease (AD) is very important, and MRI is an effective imaging mode of Alzheimer's disease. There are many existing studies on the diagnosis of Alzheimer's disease based on MRI data. However, there are no studies...
Aged, 80 and over Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease False Positive Reactions Humans Machine Learning Female Aged
View on PubMed DOI

An improved deep learning approach for detection of thyroid papillary cancer in ultrasound images.

Scientific reports Apr 26, 2018
Unlike daily routine images, ultrasound images are usually monochrome and low-resolution. In ultrasound images, the cancer regions are usually blurred, vague margin and irregular in shape. Moreover, the features of cancer region are very similar to n...
Middle Aged Deep Learning Aged, 80 and over Adolescent ROC Curve Humans Child Young Adult Image Processing, Computer-Assisted Software Ultrasonography Adult Thyroid Cancer, Papillary Algorithms Sensitivity and Specificity Female Male Aged
View on PubMed DOI

Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

JACC. Cardiovascular imaging Apr 18, 2018
OBJECTIVES: This study sought to explore the natural clustering of echocardiographic variables used for assessing left ventricular (LV) diastolic dysfunction (DD) in order to isolate high-risk phenotypic patterns and assess their prognostic significa...
Echocardiography, Doppler, Color Echocardiography, Doppler, Pulsed Aged Heart Ventricles Humans Phenotype Risk Assessment Image Interpretation, Computer-Assisted Progression-Free Survival Aged, 80 and over Retrospective Studies Pattern Recognition, Automated Machine Learning Disease Progression Ventricular Dysfunction, Left Male Female Cluster Analysis Diastole Ventricular Function, Left Risk Factors Predictive Value of Tests Hospitalization Middle Aged Cause of Death
View on PubMed DOI
Popular Topics
Recent Journals