AIMC Topic: Humans
Showing 64601 to 64610 of 95995 articles
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 19, 2019
Dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) is a method of temporal imaging that is commonly used to aid in prostate cancer (PCa) diagnosis and staging. Typically, machine learning models designed for the segmentation and detecti...
A population health perspective on artificial intelligence.
Healthcare management forum
May 19, 2019
The burgeoning field of Artificial Intelligence (AI) has the potential to profoundly impact the public's health. Yet, to make the most of this opportunity, decision-makers must understand AI concepts. In this article, we describe approaches and field...
Effects of Assistive Robot Behavior on Impressions of Patient Psychological Attributes: Vignette-Based Human-Robot Interaction Study.
Journal of medical Internet research
May 19, 2019
BACKGROUND: As robots are increasingly designed for health management applications, it is critical to not only consider the effects robots will have on patients but also consider a patient's wider social network, including the patient's caregivers an...
Single-cell approaches to cell competition: High-throughput imaging, machine learning and simulations.
Seminars in cancer biology
May 18, 2019
Cell competition is a quality control mechanism in tissues that results in the elimination of less fit cells. Over the past decade, the phenomenon of cell competition has been identified in many physiological and pathological contexts, driven either ...
Identifying predictors of within-person variance in MRI-based brain volume estimates.
NeuroImage
May 18, 2019
Adequate reliability of measurement is a precondition for investigating individual differences and age-related changes in brain structure. One approach to improve reliability is to identify and control for variables that are predictive of within-pers...
(2)
Machine learning in the clinical and language characterisation of primary progressive aphasia variants.
Cortex; a journal devoted to the study of the nervous system and behavior
May 18, 2019
INTRODUCTION: Primary progressive aphasia (PPA) is a clinical syndrome of neurodegenerative origin with 3 main variants: non-fluent, semantic, and logopenic. However, there is some controversy about the existence of additional subtypes. Our aim was t...
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage
May 18, 2019
Reconstruction of accurate cortical surfaces without topological errors (i.e., handles and holes) from infant brain MR images is very important in early brain development studies. However, infant brain MR images typically suffer extremely low tissue ...
Video-based surgical skill assessment using 3D convolutional neural networks.
International journal of computer assisted radiology and surgery
May 18, 2019
PURPOSE: A profound education of novice surgeons is crucial to ensure that surgical interventions are effective and safe. One important aspect is the teaching of technical skills for minimally invasive or robot-assisted procedures. This includes the ...
Ventricular geometry-regularized QRSd predicts cardiac resynchronization therapy response: machine learning from crosstalk between electrocardiography and echocardiography.
The international journal of cardiovascular imaging
May 18, 2019
Up to one-third of patients selected by current guidelines do not respond to cardiac resynchronization therapy (CRT), the aim of this study was to find out novel analytical approaches to improve pre-implantation CRT response prediction. Among 31 pre-...
Middle Aged
Electrocardiography
Treatment Outcome
Support Vector Machine
Male
Ventricular Function, Left
Echocardiography
Heart Failure
Cardiac Resynchronization Therapy
Ventricular Remodeling
Image Interpretation, Computer-Assisted
Predictive Value of Tests
Signal Processing, Computer-Assisted
Patient Selection
Clinical Decision-Making
Aged
Humans
Female
Aged, 80 and over
Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging.
IEEE transactions on medical imaging
May 17, 2019
The wide applications of X-ray computed tomography (CT) bring low-dose CT (LDCT) into a clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly increased noise and artifacts, which might lower the judgment accura...
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