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Predicting net joint moments during a weightlifting exercise with a neural network model.

Journal of biomechanics Apr 25, 2018
The purpose of this study was to develop and train a Neural Network (NN) that uses barbell mass and motions to predict hip, knee, and ankle Net Joint Moments (NJM) during a weightlifting exercise. Seven weightlifters performed two cleans at 85% of th...
Ankle Joint Weight Lifting Neural Networks, Computer Biomechanical Phenomena Knee Joint Hip Joint Humans
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Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques.

Journal of Korean medical science Apr 25, 2018
BACKGROUND: Many studies have tried to develop predictors for return-to-work (RTW). However, since complex factors have been demonstrated to predict RTW, it is difficult to use them practically. This study investigated whether factors used in previou...
Logistic Models Support Vector Machine Decision Trees Male Middle Aged Odds Ratio Accidents, Occupational Humans Return to Work Databases, Factual Machine Learning Female Adult
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Automated screening of research studies for systematic reviews using study characteristics.

Systematic reviews Apr 25, 2018
BACKGROUND: Screening candidate studies for inclusion in a systematic review is time-consuming when conducted manually. Automation tools could reduce the human effort devoted to screening. Existing methods use supervised machine learning which train ...
Biomedical Research Systematic Reviews as Topic Automation Humans Machine Learning
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Assessing Breast Cancer Risk with an Artificial Neural Network.

Asian Pacific journal of cancer prevention : APJCP Apr 25, 2018
Objectives: Radiologists face uncertainty in making decisions based on their judgment of breast cancer risk. Artificial intelligence and machine learning techniques have been widely applied in detection/recognition of cancer. This study aimed to esta...
Follow-Up Studies Mammography Breast Case-Control Studies Diagnosis, Computer-Assisted ROC Curve Aged Breast Neoplasms Middle Aged Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Algorithms Prognosis
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Ecological Vulnerability Assessment Based on Fuzzy Analytical Method and Analytic Hierarchy Process in Yellow River Delta.

International journal of environmental research and public health Apr 25, 2018
The Yellow River Delta (YRD), located in Yellow River estuary, is characterized by rich ecological system types, and provides habitats or migration stations for wild birds, all of which makes the delta an ecological barrier or ecotone for inland area...
Fuzzy Logic Plants Weather China Models, Theoretical Environmental Monitoring Rivers Conservation of Natural Resources Humans Soil Ecosystem
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Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report.

Bone Apr 24, 2018
INTRODUCTION: The aim of this study was to build and validate five types of machine learning models that can predict the occurrence of BRONJ associated with dental extraction in patients taking bisphosphonates for the management of osteoporosis.
Aged Male ROC Curve Area Under Curve Tooth Extraction Support Vector Machine Decision Trees Neural Networks, Computer Machine Learning Female Humans Bisphosphonate-Associated Osteonecrosis of the Jaw
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A Crossover Comparison of Standard and Telerobotic Approaches to Prenatal Sonography.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Apr 24, 2018
OBJECTIVES: To determine the feasibility of a telerobotic approach to remotely perform prenatal sonographic examinations.
Prospective Studies Pregnancy Female Reproducibility of Results Humans Fetus Biometry Amniotic Fluid Placenta Feasibility Studies Cross-Over Studies Adult Ultrasonography, Prenatal Robotics
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Single-shot T mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network.

Magnetic resonance in medicine Apr 24, 2018
PURPOSE: An end-to-end deep convolutional neural network (CNN) based on deep residual network (ResNet) was proposed to efficiently reconstruct reliable T mapping from single-shot overlapping-echo detachment (OLED) planar imaging.
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Phantoms, Imaging Echo-Planar Imaging Brain Computer Simulation Adult Humans Deep Learning Algorithms Image Processing, Computer-Assisted
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Implementing assessments of robot-assisted technical skill in urological education: a systematic review and synthesis of the validity evidence.

BJU international Apr 24, 2018
OBJECTIVES: To systematically review and synthesise the validity evidence supporting intraoperative and simulation-based assessments of technical skill in urological robot-assisted surgery (RAS), and make evidence-based recommendations for the implem...
Humans Robotic Surgical Procedures Urology Reproducibility of Results Internship and Residency Clinical Competence Simulation Training Robotics
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Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.

BMC systems biology Apr 24, 2018
BACKGROUND: Efficient computational recognition and segmentation of target organ from medical images are foundational in diagnosis and treatment, especially about pancreas cancer. In practice, the diversity in appearance of pancreas and organs in abd...
Pancreas Deep Learning Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Pancreatic Neoplasms Case-Control Studies
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