AIMC Topic:
Cross-Sectional Studies

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Quantifying upper extremity performance with and without assistance of a soft-robotic glove in elderly patients: A kinematic analysis.

Journal of rehabilitation medicine Apr 1, 2019
OBJECTIVE: To explore the direct influence of a soft-robotic glove on movement duration and movement execution in elderly people with decreased hand function during a reach-and-grasp task.
Humans Female Aged Cross-Sectional Studies Biomechanical Phenomena Equipment Design Hand Task Performance and Analysis Movement Exoskeleton Device Upper Extremity Male Middle Aged Time Factors Hand Strength Robotics
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Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis.

JACC. Cardiovascular imaging Feb 1, 2019
OBJECTIVES: This study sought to build a patient-patient similarity network using multiple features of left ventricular (LV) structure and function in patients with aortic stenosis (AS). The study further validated the observations in an experimental...
Male Ventricular Function, Left Mice, Knockout Echocardiography Heart Ventricles Reproducibility of Results Middle Aged Image Interpretation, Computer-Assisted Aged Disease Progression Heart Valve Prosthesis Implantation Aortic Valve Stenosis Aged, 80 and over Balloon Valvuloplasty Severity of Illness Index Humans Aortic Valve Cross-Sectional Studies Time Factors Machine Learning Predictive Value of Tests Animals Disease Models, Animal Female
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Predictive analysis across spatial scales links zoonotic malaria to deforestation.

Proceedings. Biological sciences Jan 16, 2019
The complex transmission ecologies of vector-borne and zoonotic diseases pose challenges to their control, especially in changing landscapes. Human incidence of zoonotic malaria ( Plasmodium knowlesi) is associated with deforestation although mechani...
Epidemiological Monitoring Zoonoses Forestry Plasmodium knowlesi Remote Sensing Technology Malaria Forests Spacecraft Spatial Analysis Humans Machine Learning Models, Theoretical Malaysia Models, Statistical Cross-Sectional Studies Animals Case-Control Studies
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Relationship of the low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index with antioxidant enzymes and with the oxLDL/HDL index.

Gaceta medica de Mexico Jan 1, 2019
INTRODUCTION: The low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index is a predictive factor for atherosclerosis, which is associated with oxidative modifications.
Lipoproteins, LDL Magnesium Sex Factors Glutathione Peroxidase Oxidative Stress Nails Humans Lipoproteins, HDL Insulin Resistance Smoking Female Superoxide Dismutase Adult Age Factors Cross-Sectional Studies Obesity Male
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Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.

Journal of clinical gastroenterology Jan 1, 2019
OBJECTIVES: The aim of this study was to test the ability of a commercially available natural language processing (NLP) tool to accurately extract examination quality-related and large polyp information from colonoscopy reports with varying report fo...
Humans Cross-Sectional Studies Male Middle Aged Colonoscopy Predictive Value of Tests Natural Language Processing Female Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Colonic Polyps California
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Macular Vessel Density and Ganglion Cell/Inner Plexiform Layer Thickness and Their Combinational Index Using Artificial Intelligence.

Journal of glaucoma Sep 1, 2018
PURPOSE: To evaluate the relationship between macular vessel density and ganglion cell to inner plexiform layer thickness (GCIPLT) and to compare their diagnostic performance. We attempted to develop a new combined parameter using an artificial neura...
Retinal Ganglion Cells Retinal Vessels Glaucoma, Open-Angle Case-Control Studies ROC Curve Area Under Curve Tomography, Optical Coherence Nerve Fibers Adult Artificial Intelligence Cross-Sectional Studies Female Intraocular Pressure Aged Male Middle Aged Humans Neural Networks, Computer
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Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

Annals of oncology : official journal of the European Society for Medical Oncology Aug 1, 2018
BACKGROUND: Deep learning convolutional neural networks (CNN) may facilitate melanoma detection, but data comparing a CNN's diagnostic performance to larger groups of dermatologists are lacking.
Clinical Competence ROC Curve Image Processing, Computer-Assisted Skin Dermatologists Melanoma International Cooperation Humans Skin Neoplasms Retrospective Studies Dermoscopy Cross-Sectional Studies Deep Learning
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Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity.

Journal of glaucoma Jul 1, 2018
PURPOSE: To evaluate the accuracy of detecting glaucoma visual field defect severity using deep-learning (DL) classifier with an ultrawide-field scanning laser ophthalmoscope.
Visual Fields Humans Visual Field Tests Ophthalmoscopes Severity of Illness Index Adult Glaucoma Deep Learning Sensitivity and Specificity Retrospective Studies Intraocular Pressure Microscopy, Confocal Cross-Sectional Studies Female Vision Disorders Male Reproducibility of Results Image Interpretation, Computer-Assisted Middle Aged Aged
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Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.

Medicine and science in sports and exercise Jul 1, 2018
PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data.
Algorithms Female Aged Breast Neoplasms Cross-Sectional Studies Thigh Monitoring, Ambulatory Accelerometry Middle Aged Exercise Sitting Position Pilot Projects Humans Hip Machine Learning Survivors
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Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion.

Spine Jun 15, 2018
STUDY DESIGN: A cross-sectional database study.
Middle Aged Postoperative Complications Spinal Fusion Lumbar Vertebrae Databases, Factual Humans Prognosis Female Cross-Sectional Studies Neural Networks, Computer Male Machine Learning
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