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An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.
NeuroImage
Aug 12, 2017
This paper presents an open, multi-vendor, multi-field strength magnetic resonance (MR) T1-weighted volumetric brain imaging dataset, named Calgary-Campinas-359 (CC-359). The dataset is composed of images of older healthy adults (29-80 years) acquire...
Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis.
Circulation research
Aug 9, 2017
RATIONALE: Machine learning may be useful to characterize cardiovascular risk, predict outcomes, and identify biomarkers in population studies.
An Evaluation of Artificial Neural Networks in Predicting Pancreatic Cancer Survival.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Aug 3, 2017
OBJECTIVE: This study aims to evaluate the development of an artificial neural network (ANN) method for predicting the survival likelihood of pancreatic adenocarcinoma patients. The ANN predictive model should produce results with a 90% sensitivity.
Use of a Robotic Seal as a Therapeutic Tool to Improve Dementia Symptoms: A Cluster-Randomized Controlled Trial.
Journal of the American Medical Directors Association
Aug 2, 2017
OBJECTIVES: To test the effects of individual, nonfacilitated sessions with PARO (version 9), when compared against a look-alike plush toy and usual care, on the emotional and behavioral symptoms of dementia for people living in long-term care facili...
A multi-perspective evaluation of a service robot for seniors: the voice of different stakeholders.
Disability and rehabilitation. Assistive technology
Jul 31, 2017
PURPOSE: The potential of service robots for seniors is given increasing attention as the ageing population in Western countries will continue to grow as well as the demand for home care. In order to capture the experience of living with a robot at h...
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.
NeuroImage
Jul 29, 2017
Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people. Deviations from healthy brain ageing have been associated with cognitive impairment and disease. Here we sought to further establish the creden...
AV-1451 PET imaging of tau pathology in preclinical Alzheimer disease: Defining a summary measure.
NeuroImage
Jul 26, 2017
Utilizing [18F]-AV-1451 tau positron emission tomography (PET) as an Alzheimer disease (AD) biomarker will require identification of brain regions that are most important in detecting elevated tau pathology in preclinical AD. Here, we utilized an uns...
What are the six degree-of-freedom errors of a robotically-machined femoral cavity in total hip arthroplasty and are they clinically important? An in-vitro study.
Medical engineering & physics
Jul 26, 2017
Errors during a robot-assisted THA may result in a femoral cavity with position and orientation different than planned. This can lead to a femoral component placement that inaccurately sets a patient's femoral anteversion (FA), femoral offset (FO), a...
Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks.
Physics in medicine and biology
Jul 24, 2017
Automated methods for prostate cancer (PCa) diagnosis in multi-parametric magnetic resonance imaging (MP-MRIs) are critical for alleviating requirements for interpretation of radiographs while helping to improve diagnostic accuracy (Artan et al 2010 ...
EEG machine learning for accurate detection of cholinergic intervention and Alzheimer's disease.
Scientific reports
Jul 18, 2017
Monitoring effects of disease or therapeutic intervention on brain function is increasingly important for clinical trials, albeit hampered by inter-individual variability and subtle effects. Here, we apply complementary biomarker algorithms to electr...
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