AIMC Topic: Female

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Robot-assisted Kidney Autotransplantation: A Minimally Invasive Way to Salvage Kidneys.

European urology focus Aug 6, 2018
BACKGROUND: Kidney autotransplantation (KAT) is the ultimate way to salvage kidneys with complex renovascular, ureteral, or malignant pathologies that are not amenable to in situ reconstruction. A minimally invasive approach could broaden its adoptio...
Ureteral Obstruction Renal Nutcracker Syndrome Flank Pain Transplantation, Autologous Anastomosis, Surgical Salvage Therapy Cold Ischemia Prospective Studies Perioperative Period Retrospective Studies Ureteroscopy Female Postoperative Complications Adult Length of Stay Male Kidney Middle Aged Robotics Hematuria Humans Kidney Transplantation
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Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study.

Journal of magnetic resonance imaging : JMRI Aug 5, 2018
BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood-brain barrier, neuronal damage, and arterial stiffness, thus affecting cerebral metabolism and perfusion. There is a need to implement machine-learning methodolog...
Insulin Resistance Longitudinal Studies Magnetic Resonance Imaging Brain Mapping Perfusion Cognition Disorders Middle Aged Severity of Illness Index Pilot Projects Diabetes Mellitus, Type 2 Imaging, Three-Dimensional Linear Models Humans Machine Learning Prospective Studies Brain Female Aged Aged, 80 and over Cross-Sectional Studies Male
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Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age.

International journal of oral and maxillofacial surgery Aug 4, 2018
This observational study aimed to use artificial intelligence to describe the impact of orthognathic treatment on facial attractiveness and age appearance. Pre- and post-treatment photographs (n=2164) of 146 consecutive orthognathic patients were col...
Osteotomy Face Facial Asymmetry Algorithms Humans Esthetics Orthognathic Surgical Procedures Artificial Intelligence Retrospective Studies Malocclusion, Angle Class II Photography Female Malocclusion, Angle Class III Adult Open Bite Male Longitudinal Studies
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Effect of daily intake of a low-alcohol orange beverage on cardiovascular risk factors in hypercholesterolemic humans.

Food research international (Ottawa, Ont.) Aug 3, 2018
Oxidative stress, inflammation status, endothelial dysfunction, and imbalanced lipid metabolism play a major role in cardiovascular disease. Bioactive compounds and moderate alcohol consumption have been associated with decreased cardiovascular risk....
Catalase Cardiovascular Diseases Fruit and Vegetable Juices Hypercholesterolemia Humans Cholesterol, HDL Thiobarbituric Acid Reactive Substances Oxidative Stress Female Alcoholic Beverages Antioxidants Risk Factors Citrus sinensis Inflammation Adult Cholesterol, LDL Male
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Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data.

Medical image analysis Aug 3, 2018
This paper aims to address the segmentation and classification of lytic and sclerotic metastatic lesions that are difficult to define by using spinal 3D Computed Tomography (CT) images obtained from highly pathologically affected cases. As the lesion...
Humans Neural Networks, Computer Tomography, X-Ray Computed Female Aged Aged, 80 and over Male Middle Aged Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Spinal Neoplasms
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Machine learning as a new paradigm for characterizing localization and lateralization of neuropsychological test data in temporal lobe epilepsy.

Epilepsy & behavior : E&B Aug 3, 2018
In this study, we employed a kernel support vector machine to predict epilepsy localization and lateralization for patients with a diagnosis of epilepsy (n = 228). We assessed the accuracy to which indices of verbal memory, visual memory, verbal flue...
Memory Verbal Learning Quality of Life Retrospective Studies Humans Electroencephalography Female Epilepsy Machine Learning Adult Analysis of Variance Male Neuropsychological Tests Middle Aged
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Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.

JAMA network open Aug 3, 2018
IMPORTANCE: Current methods for identifying hospitalized patients at increased risk of delirium require nurse-administered questionnaires with moderate accuracy.
Adult Male Middle Aged Risk Assessment Humans Electronic Health Records Cohort Studies Adolescent Machine Learning Female Delirium Cognitive Dysfunction Forecasting Hospitalization Models, Educational Retrospective Studies Aged Young Adult
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An Artificial Neural Network Framework for Gait-Based Biometrics.

IEEE journal of biomedical and health informatics Aug 2, 2018
As the popularity of wearable and the implantable body sensor network (BSN) devices increases, there is a growing concern regarding the data security of such power-constrained miniaturized medical devices. With limited computational power, BSN device...
Humans Neural Networks, Computer Confidentiality Gait Computer Security Biometry Computer Communication Networks Wireless Technology Female Young Adult Adult Male Wearable Electronic Devices
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Self-Efficacy, Poststroke Depression, and Rehabilitation Outcomes: Is There a Correlation?

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The sudden live changes of stroke survivors may lead to negative psychological and behavioral outcomes, including anxiety and depressive mood, which may compromise the rehabilitation process. Some personality features, such as self-effica...
Middle Aged Depression Surveys and Questionnaires Self Efficacy Time Factors Treatment Outcome Humans Female Aged Male Motor Activity Recovery of Function Physical Therapy Modalities Robotics Stroke Rehabilitation Disability Evaluation Stroke Affect
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Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Motor Skills Leukocyte Count Motor Activity Stroke Rehabilitation Disability Evaluation Stroke Hematocrit Inflammation Mediators Linear Models Biomarkers Female Male Time Factors Humans Cognition Machine Learning Decision Support Techniques Treatment Outcome Longitudinal Studies Health Status Inpatients Recovery of Function Predictive Value of Tests
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