AIMC Topic: Aged

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Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups.

Urologic oncology Sep 17, 2018
BACKGROUND: The advantages of Robot-assisted laparoscopic prostatectomy (RARP) over open radical prostatectomy (ORP) in Prostate cancer perioperatively are well-established, but quality of life is more contentious. Increasingly, patients are utilisin...
Middle Aged Quality of Life Follow-Up Studies Prostatic Neoplasms Laparoscopy Robotic Surgical Procedures Patient Reported Outcome Measures Prostatectomy Prognosis Retrospective Studies Aged Humans Adult Machine Learning Male
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Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories.

Journal of general internal medicine Sep 17, 2018
OBJECTIVE: Many healthcare systems employ population-based risk scores to prospectively identify patients at high risk of poor outcomes, but it is unclear whether single point-in-time scores adequately represent future risk. We sought to identify and...
Humans Follow-Up Studies Machine Learning Hospitalization United States Department of Veterans Affairs Prospective Studies Hospitals, Veterans Aged Female Male Risk Factors Middle Aged United States
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Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT.

International ophthalmology Sep 14, 2018
PURPOSE: In this study, we compared deep learning (DL) with support vector machine (SVM), both of which use three-dimensional optical coherence tomography (3D-OCT) images for detecting epiretinal membrane (ERM).
Female Aged Male Deep Learning Imaging, Three-Dimensional Humans Machine Learning Early Diagnosis Support Vector Machine Epiretinal Membrane Visual Acuity Tomography, Optical Coherence Retina
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Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.

European journal of radiology Sep 14, 2018
PURPOSE: To evaluate the performance of a machine learning method based on texture features in multi-parametric magnetic resonance imaging (MRI) to differentiate a glioblastoma multiforme (GBM) from a primary cerebral nervous system lymphoma (PCNSL).
Glioblastoma Image Enhancement ROC Curve Humans Logistic Models Machine Learning Aged Brain Adult Lymphoma Retrospective Studies Brain Neoplasms Female Magnetic Resonance Imaging Male Diagnosis, Differential Middle Aged
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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 14, 2018
BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction ...
Ventricular Function, Right Myocardial Contraction Image Interpretation, Computer-Assisted Observer Variation Automation Magnetic Resonance Imaging, Cine Female Reproducibility of Results Aged Male Ventricular Function, Left Stroke Volume Middle Aged Deep Learning Predictive Value of Tests Humans Heart Diseases Neural Networks, Computer Databases, Factual
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Detection of Colorectal Carcinoma Based on Microbiota Analysis Using Generalized Regression Neural Networks and Nonlinear Feature Selection.

IEEE/ACM transactions on computational biology and bioinformatics Sep 13, 2018
To obtain a screening tool for colorectal cancer (CRC) based on gut microbiota, we seek here to identify an optimal classifier for CRC detection as well as a novel nonlinear feature selection method for determining the most discriminative microbial s...
Bacteria Gastrointestinal Microbiome Humans Metagenome Neural Networks, Computer Male Machine Learning Middle Aged Algorithms Diagnosis, Computer-Assisted Female Feces Aged Colorectal Neoplasms
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Serum vitamin D deficiency and vitamin D receptor gene polymorphism are associated with increased risk of cardiovascular disease in a Chinese rural population.

Nutrition research (New York, N.Y.) Sep 13, 2018
Several studies have reported a conflicting association between vitamin D deficiency, vitamin D receptor (VDR) polymorphism, and the risk of cardiovascular disease (CVD). We hypothesized that serum 25(OH)D concentrations and single nucleotide polymor...
Asian People Blood Glucose Adult Haplotypes Polymorphism, Single Nucleotide Rural Population Humans Gene Frequency Male Genotype Vitamin D Biomarkers Triglycerides Cardiovascular Diseases Logistic Models Receptors, Calcitriol Middle Aged Female Vitamin D Deficiency China Aged Alleles
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Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Sep 12, 2018
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generated reports to results from actual clinical reports generated by nuclear cardiology experts.
Humans Artificial Intelligence Retrospective Studies Diagnosis, Computer-Assisted Coronary Artery Disease Observer Variation Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Female Aged Sensitivity and Specificity Male Middle Aged
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Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.

IEEE transactions on bio-medical engineering Sep 12, 2018
In the field of computer-aided Alzheimer's disease (AD) diagnosis, jointly identifying brain diseases and predicting clinical scores using magnetic resonance imaging (MRI) have attracted increasing attention since these two tasks are highly correlate...
Image Interpretation, Computer-Assisted Brain Female Aged Aged, 80 and over Male Deep Learning Magnetic Resonance Imaging Anatomic Landmarks Humans Alzheimer Disease Algorithms
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Critical features for face recognition.

Cognition Sep 12, 2018
Face recognition is a computationally challenging task that humans perform effortlessly. Nonetheless, this remarkable ability is better for familiar faces than unfamiliar faces. To account for humans' superior ability to recognize familiar faces, cur...
Young Adult Adult Male Middle Aged Deep Learning Humans Female Aged Pattern Recognition, Automated Facial Recognition Recognition, Psychology
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