AIMC Topic: Aged

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Use of machine learning techniques in the development and refinement of a predictive model for early diagnosis of ankylosing spondylitis.

Clinical rheumatology May 1, 2019
OBJECTIVE: To develop a predictive mathematical model for the early identification of ankylosing spondylitis (AS) based on the medical and pharmacy claims history of patients with and without AS.
Humans Machine Learning Databases, Factual Retrospective Studies Female Aged Adolescent Child United States Models, Theoretical Early Diagnosis Spondylitis, Ankylosing Young Adult Adult Male Middle Aged Risk Assessment
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A deep learning radiomics model for preoperative grading in meningioma.

European journal of radiology May 1, 2019
OBJECTIVES: To noninvasively differentiate meningioma grades by deep learning radiomics (DLR) model based on routine post-contrast MRI.
Humans Algorithms Prognosis Adult Sensitivity and Specificity Male Middle Aged Deep Learning Adolescent Retrospective Studies Female Reproducibility of Results Aged Young Adult Meningioma Meningeal Neoplasms Meninges Cohort Studies Magnetic Resonance Imaging Area Under Curve Neoplasm Grading Preoperative Care
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Robot-Assisted Reaching Performance of Chronic Stroke and Healthy Individuals in a Virtual Versus a Physical Environment: A Pilot Study.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 1, 2019
The aim of the current study was to examine the role of environment, whether virtual or physical, on robot-assisted reaching movements in chronic stroke and healthy individuals, within a single session. Twenty-three subjects participated in the curre...
Equipment Design Aged Stroke Aged, 80 and over Psychomotor Performance Adult Humans Middle Aged Environment Female Biomechanical Phenomena Pilot Projects Stroke Rehabilitation Male Surveys and Questionnaires Virtual Reality Treatment Outcome Robotics
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Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network.

European radiology Apr 30, 2019
OBJECTIVES: To evaluate the performance of a novel three-dimensional (3D) joint convolutional and recurrent neural network (CNN-RNN) for the detection of intracranial hemorrhage (ICH) and its five subtypes (cerebral parenchymal, intraventricular, sub...
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adolescent Child, Preschool Child Adult Imaging, Three-Dimensional Intracranial Hemorrhages Male Middle Aged Infant Deep Learning
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Effect of Tube Voltage on Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography With Machine Learning: Results From the MACHINE Registry.

AJR. American journal of roentgenology Apr 30, 2019
Coronary CT angiography (CCTA)-based methods allow noninvasive estimation of fractional flow reserve (cFFR), recently through use of a machine learning (ML) algorithm (cFFR). However, attenuation values vary according to the tube voltage used, and i...
Computed Tomography Angiography Fractional Flow Reserve, Myocardial Humans Machine Learning Male Retrospective Studies Middle Aged Female Predictive Value of Tests Aged Coronary Angiography Sensitivity and Specificity Registries Coronary Disease
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Combination of Exoskeletal Upper Limb Robot and Occupational Therapy Improve Activities of Daily Living Function in Acute Stroke Patients.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 30, 2019
PURPOSE: Previous studies have suggested that upper limb rehabilitation using therapeutic robots improves motor function of stroke patients. However, the effect of upper limb robotic rehabilitation on improving functioning in activities of daily livi...
Upper Extremity Stroke Rehabilitation Male Middle Aged Time Factors Japan Treatment Outcome Activities of Daily Living Recovery of Function Occupational Therapy Paresis Robotics Exoskeleton Device Disability Evaluation Humans Motor Activity Equipment Design Female Stroke Aged Combined Modality Therapy Adult
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Gaussian Process Trajectory Learning and Synthesis of Individualized Gait Motions.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 30, 2019
This paper proposes a Gaussian process-based method for trajectory learning and generation of individualized gait motions at arbitrary user-designated walking speeds, intended to be used in generating reference motions for robotic gait rehabilitation...
Humans Markov Chains Anthropometry Algorithms Gait Disorders, Neurologic Joints Female Middle Aged Leg Aged Walking Speed Young Adult Models, Statistical Normal Distribution Robotics Adult Gait Biomechanical Phenomena Healthy Volunteers Male
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Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI.

Radiology Apr 30, 2019
Background Renal impairment is common in patients with coronary artery disease and, if severe, late gadolinium enhancement (LGE) imaging for myocardial infarction (MI) evaluation cannot be performed. Purpose To develop a fully automatic framework for...
Middle Aged Deep Learning Chronic Disease Myocardial Infarction Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Female Aged Adult Sensitivity and Specificity Male Humans Databases, Factual Retrospective Studies
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Prediction of Alzheimer's disease dementia with MRI beyond the short-term: Implications for the design of predictive models.

NeuroImage. Clinical Apr 30, 2019
Magnetic resonance imaging (MRI) volumetric measures have become a standard tool for the detection of incipient Alzheimer's Disease (AD) dementia in mild cognitive impairment (MCI). Focused on providing an earlier and more accurate diagnosis, sophist...
Magnetic Resonance Imaging Male Predictive Value of Tests Humans Alzheimer Disease Middle Aged Dementia Cohort Studies Follow-Up Studies Machine Learning Female Aged Aged, 80 and over
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Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-FP-CIT indices.

Journal of neurology Apr 29, 2019
OBJECTIVES: To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.
Parkinsonian Disorders Corpus Striatum Tomography, Emission-Computed, Single-Photon Adult Male Middle Aged Support Vector Machine Iodine Radioisotopes Humans Retrospective Studies Female Aged Aged, 80 and over
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