Humans

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Radiomics features on non-contrast-enhanced CT scan can precisely classify AVM-related hematomas from other spontaneous intraparenchymal hematoma types.

European radiology Oct 10, 2018
OBJECTIVE: To investigate the classification ability of quantitative radiomics features extracted on non-contrast-enhanced CT (NECT) image for discrimination of AVM-related hematomas from those caused by other etiologies.
Aged, 80 and over Young Adult Adult Male Tomography, X-Ray Computed Female Reproducibility of Results Aged Brain Diseases Image Enhancement Middle Aged Adolescent Child Hematoma Humans Machine Learning
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Soft Poly-Limbs: Toward a New Paradigm of Mobile Manipulation for Daily Living Tasks.

Soft robotics Oct 10, 2018
We present the design and development of the fluid-driven, wearable, Soft Poly-Limb (SPL), from the Greek word polys, meaning many. The SPL utilizes the numerous traits of soft robotics to enable a novel approach in providing safe and compliant mobil...
Range of Motion, Articular Exoskeleton Device Robotics Equipment Design Humans Hand Activities of Daily Living
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3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects.

Journal of magnetic resonance imaging : JMRI Oct 10, 2018
BACKGROUND: Semiquantitative assessment of MRI plays a central role in musculoskeletal research; however, in the clinical setting MRI reports often tend to be subjective and qualitative. Grading schemes utilized in research are not used because they ...
Osteoarthritis, Knee Cartilage, Articular Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Anterior Cruciate Ligament Reconstruction Humans Meniscus Neural Networks, Computer Reproducibility of Results ROC Curve Aged Imaging, Three-Dimensional Sensitivity and Specificity Adult Magnetic Resonance Imaging Male Retrospective Studies False Positive Reactions Middle Aged Female Severity of Illness Index
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High triglycerides to HDL-cholesterol ratio is associated with insulin resistance in normal-weight healthy adults.

Diabetes & metabolic syndrome Oct 10, 2018
AIM: To evaluate the association between high triglyceride/HDL-cholesterol (TG/HDL-C) ratio and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in normal-weight healthy adults.
Humans Biomarkers Prognosis Female Insulin Resistance Follow-Up Studies Peru Cholesterol, HDL Adult Triglycerides Cross-Sectional Studies Hyperinsulinism Male Hypertriglyceridemia Prevalence
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The hepatotoxic potential of protein kinase inhibitors predicted with Random Forest and Artificial Neural Networks.

Toxicology letters Oct 10, 2018
Protein kinases (PKs) play a role in many pivotal aspects of cellular function. Dysregulation and mutations of protein kinases are involved in the development of different diseases, which might be treated by inhibition of the corresponding kinase. Pr...
Humans Neural Networks, Computer Machine Learning Liver Models, Biological Quantitative Structure-Activity Relationship Protein Kinase Inhibitors Chemical and Drug Induced Liver Injury
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Transoral surgery using the Flex Robotic System: Initial experience in the United States.

Head & neck Oct 10, 2018
BACKGROUND: This multicenter, retrospective review documents the initial experience using the Flex system for transoral surgery in 2 United States academic centers.
United States Treatment Outcome Robotics Equipment Design Postoperative Complications Length of Stay Clinical Competence Cohort Studies Academic Medical Centers Natural Orifice Endoscopic Surgery Learning Curve Larynx Glottis Humans Robotic Surgical Procedures Adult Retrospective Studies Mouth Male Female Pharynx Middle Aged Aged Tongue Risk Assessment
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma.

Journal of visualized experiments : JoVE Oct 10, 2018
Intra-arterial therapies are the standard of care for patients with hepatocellular carcinoma who cannot undergo surgical resection. The objective of this study was to develop a method to predict response to intra-arterial treatment prior to intervent...
Carcinoma, Hepatocellular Surgery, Computer-Assisted Injections, Intra-Arterial Machine Learning Male Middle Aged Liver Neoplasms Humans
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Predicting Adherence to Internet-Delivered Psychotherapy for Symptoms of Depression and Anxiety After Myocardial Infarction: Machine Learning Insights From the U-CARE Heart Randomized Controlled Trial.

Journal of medical Internet research Oct 10, 2018
BACKGROUND: Low adherence to recommended treatments is a multifactorial problem for patients in rehabilitation after myocardial infarction (MI). In a nationwide trial of internet-delivered cognitive behavior therapy (iCBT) for the high-risk subgroup ...
Humans Machine Learning Depression Internet Female Psychotherapy Male Myocardial Infarction Middle Aged Anxiety
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Artificial intelligence in healthcare.

Nature biomedical engineering Oct 10, 2018
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only t...
Biomarkers Humans Wearable Electronic Devices Neural Networks, Computer Image Processing, Computer-Assisted Artificial Intelligence Robotic Surgical Procedures Delivery of Health Care
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Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy.

Nature biomedical engineering Oct 10, 2018
The detection and removal of precancerous polyps via colonoscopy is the gold standard for the prevention of colon cancer. However, the detection rate of adenomatous polyps can vary significantly among endoscopists. Here, we show that a machine-learni...
Humans Colonic Neoplasms Software Colonoscopy Colonic Polyps Algorithms Deep Learning Image Interpretation, Computer-Assisted Databases, Factual ROC Curve Precancerous Conditions Area Under Curve
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