AIMC Topic: Female

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Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases.

Health information management : journal of the Health Information Management Association of Australia May 1, 2019
BACKGROUND: The All Patient-Refined Diagnosis-Related Groups (APR-DRGs) system has adjusted the basic DRG structure by incorporating four severity of illness (SOI) levels, which are used for determining hospital payment. A comprehensive report of all...
Humans Female Sensitivity and Specificity Quality Control Data Accuracy Respiratory Tract Diseases Portugal Diagnosis-Related Groups Hospital Charges Male Cardiovascular Diseases Comorbidity Severity of Illness Index Support Vector Machine
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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.
Female Reproducibility of Results Aged Young Adult Adult Sensitivity and Specificity Humans Algorithms Prognosis Retrospective Studies Magnetic Resonance Imaging Area Under Curve Neoplasm Grading Preoperative Care Meninges Meningioma Male Meningeal Neoplasms Middle Aged Deep Learning Adolescent Cohort Studies
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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...
Psychomotor Performance Environment Stroke Rehabilitation Virtual Reality Treatment Outcome Robotics Equipment Design Stroke Humans Female Aged Adult Aged, 80 and over Biomechanical Phenomena Male Middle Aged Pilot Projects Surveys and Questionnaires
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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...
Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Imaging, Three-Dimensional Humans Middle Aged Infant Intracranial Hemorrhages Deep Learning Adolescent Child, Preschool Child
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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...
Sensitivity and Specificity Male Middle Aged Predictive Value of Tests Coronary Angiography Registries Coronary Disease Computed Tomography Angiography Fractional Flow Reserve, Myocardial Humans Machine Learning Retrospective Studies Female Aged
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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...
Humans Paresis Time Factors Exoskeleton Device Motor Activity Equipment Design Female Treatment Outcome Stroke Aged Recovery of Function Upper Extremity Combined Modality Therapy Adult Robotics Stroke Rehabilitation Japan Male Occupational Therapy Activities of Daily Living Middle Aged Disability Evaluation
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Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.

Pediatric radiology Apr 30, 2019
BACKGROUND: An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g., automated hanging protocols) and help facilitate the automated curation of large medical imagin...
Radiologists Workflow Musculoskeletal Diseases Automation Retrospective Studies Semantics Female Male Humans Deep Learning Clinical Competence Neural Networks, Computer Machine Learning Adolescent Databases, Factual Child, Preschool Child ROC Curve Area Under Curve Radiography
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Incorporated region detection and classification using deep convolutional networks for bone age assessment.

Artificial intelligence in medicine Apr 30, 2019
Bone age assessment plays an important role in the endocrinology and genetic investigation of patients. In this paper, we proposed a deep learning-based approach for bone age assessment by integration of the Tanner-Whitehouse (TW3) methods and deep c...
Age Determination by Skeleton Infant Humans Deep Learning Neural Networks, Computer Adolescent Female Infant, Newborn Child, Preschool Male Child
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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 Joints Algorithms Leg Female Robotics Young Adult Aged Walking Speed Gait Adult Normal Distribution Healthy Volunteers Biomechanical Phenomena Gait Disorders, Neurologic Markov Chains Male Anthropometry Middle Aged Models, Statistical
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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...
Male Middle Aged Deep Learning Chronic Disease Myocardial Infarction Image Interpretation, Computer-Assisted Retrospective Studies Female Aged Adult Sensitivity and Specificity Magnetic Resonance Imaging, Cine Humans Databases, Factual
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