AIMC Topic: Young Adult

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A prospective study evaluating impact on renal function following percutaneous nephrolithotomy using Tc99m ethylenedicysteine renal scan: Does multiplicity of access tracts play a role?

Investigative and clinical urology Nov 27, 2018
PURPOSE: A prospective study evaluating impact of percutaneous nephrolithotomy (PCNL) on renal function following PCNL using ethylenedicysteine (EC) renal scan. Does multiplicity of access tracts play a role?
Radiopharmaceuticals Adult Male Cysteine Middle Aged Kidney Calculi Humans Kidney Nephrolithotomy, Percutaneous Glomerular Filtration Rate Prospective Studies Technetium Creatinine Female Young Adult
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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

PLoS medicine Nov 27, 2018
BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting...
Young Adult Magnetic Resonance Imaging Knee Humans Adult Databases, Factual Predictive Value of Tests Male Retrospective Studies Image Interpretation, Computer-Assisted Middle Aged Female Automation Diagnosis, Computer-Assisted Reproducibility of Results Tibial Meniscus Injuries Deep Learning Anterior Cruciate Ligament Injuries
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Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

PLoS medicine Nov 27, 2018
BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an eff...
Health Status Data Mining Surgical Procedures, Operative Automation Male Humans Reproducibility of Results Middle Aged Machine Learning Risk Factors Risk Assessment Retrospective Studies Aged Postoperative Complications Electronic Health Records Young Adult Comorbidity Female Adult Adolescent
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Refining Convolutional Neural Network Detection of Small-Bowel Obstruction in Conventional Radiography.

AJR. American journal of roentgenology Nov 26, 2018
OBJECTIVE: The purpose of this study was to evaluate improvement of convolutional neural network detection of high-grade small-bowel obstruction on conventional radiographs with increased training set size.
Intestine, Small Male Middle Aged Adolescent Radiography Intestinal Obstruction Humans Neural Networks, Computer Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult
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Cocoa flavanol effects on markers of oxidative stress and recovery after muscle damage protocol in elite rugby players.

Nutrition (Burbank, Los Angeles County, Calif.) Nov 24, 2018
OBJECTIVES: Strenuous exercise can impair athletic performance due to muscular inflammation and oxidative stress. Antioxidants such as cocoa flavanols have been used as a supplement to prevent oxidative stress; however, the benefits of dietary antiox...
Athletic Performance Adolescent Humans Athletes Oxidative Stress Biomarkers Flavonols Muscle, Skeletal Young Adult Cacao Double-Blind Method Adult Beverages Male Football
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Comparison of Muscular Activity and Movement Performance in Robot-Assisted and Freely Performed Exercises.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 23, 2018
End-effector-based robotic systems are, in particular, suitable for extending physical therapy in stroke rehabilitation. An adequate therapy and thus the recovery of movement can only be guaranteed if the physiological muscular activation and movemen...
Male Middle Aged Exercise Muscle, Skeletal Robotics Signal Processing, Computer-Assisted Electromyography Healthy Volunteers Psychomotor Performance Movement Upper Extremity Stroke Rehabilitation Humans Algorithms Female Young Adult Adult Biomechanical Phenomena
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Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.

Metabolic brain disease Nov 22, 2018
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs) and memory impairments, which are associated with PHEMN (psychosis, hostility, excitation, mannerism and negative) and DAPS (depression, anxiety and...
Humans Biomarkers Female Aged Young Adult Depression Adolescent Supervised Machine Learning Schizophrenia Tryptophan Neuropsychological Tests Adult Male Middle Aged Quality of Life Anxiety Case-Control Studies Schizophrenic Psychology
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Machine learning approaches for predicting high cost high need patient expenditures in health care.

Biomedical engineering online Nov 20, 2018
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state Medicaid program. Predictive machine learning models were used to forecast the expenditures, especially for the high-cost, high-need (HCHN) patients.
United States Chronic Disease Health Expenditures Data Collection Economics, Medical Humans Health Services Research Aged Health Care Costs Machine Learning Young Adult Texas Algorithms Adult Medicaid Female Male Multimorbidity Middle Aged Adolescent
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Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.

PLoS medicine Nov 20, 2018
BACKGROUND: Emergency admissions are a major source of healthcare spending. We aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admission. Machine learning methods are capable of ca...
Aged, 80 and over Young Adult Adult Male Middle Aged Risk Assessment Electronic Health Records Female Reproducibility of Results Risk Factors Aged Humans Emergency Service, Hospital Machine Learning Data Mining England Sex Factors Adolescent Health Services Needs and Demand Time Factors Patient Admission Socioeconomic Factors Needs Assessment Health Status Age Factors
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Ultrasound-Guided Continuous Thoracic Erector Spinae Plane Block Within an Enhanced Recovery Program Is Associated with Decreased Opioid Consumption and Improved Patient Postoperative Rehabilitation After Open Cardiac Surgery-A Patient-Matched, Controlled Before-and-After Study.

Journal of cardiothoracic and vascular anesthesia Nov 19, 2018
OBJECTIVES: Open cardiac surgery may cause severe postoperative pain. The authors hypothesized that patients receiving a bundle of care using continuous erector spinae plane blocks (ESPB) would have decreased perioperative opioid consumption and impr...
Postoperative Care Pain, Postoperative Analgesics, Opioid Cardiac Surgical Procedures Pain Management Drug Administration Schedule Humans Adolescent Prospective Studies Female Ultrasonography Enhanced Recovery After Surgery Nerve Block Aged Thoracic Nerves Follow-Up Studies Young Adult Dose-Response Relationship, Drug Adult Male Middle Aged
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