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Practice-Management Subcategories: Information Technology Medicolegal Practice Management Reimbursement Staffing & Scheduling

Showing 2500-2520 of 6,187 articles

Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.

Falling is a significant health problem. Fall detection, to alert for medical attention, has been ga...

Nov 2020 PMID: 33202738

Effect of Social Anxiety on the Adoption of Robotic Training Partner.

With the development of artificial intelligence technologies, robotic training partner is becoming a...

Nov 2020 PMID: 33181020

Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.

BACKGROUND: Metabolic syndrome (MetS) is a major public health concern due to its high prevalence an...

Nov 2020 PMID: 33183282

Let's Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human-Robot Interaction at Work.

OBJECTIVE: This meta-analysis reviews robot design features of interface, controller, and appearance...

Nov 2020 PMID: 33176488

Effects of Robotic Exoskeleton-Aided Gait Training in the Strength, Body Balance, and Walking Speed in Individuals With Multiple Sclerosis: A Single-Group Preliminary Study.

OBJECTIVE: To assess effects of 15 exoskeleton-assisted gait training sessions, reflected by the mus...

Nov 2020 PMID: 33181115

Clinician Perceptions of Robotic Exoskeletons for Locomotor Training After Spinal Cord Injury: A Qualitative Approach.

OBJECTIVE: To describe the experiences of clinicians who have used robotic exoskeletons in their pra...

Nov 2020 PMID: 33171130

Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.

Generative adversarial networks have achieved remarkable performance on various tasks but suffer fro...

Nov 2020 PMID: 33217683

PM2.5 concentration modeling and prediction by using temperature-based deep belief network.

Air quality prediction is a global hot issue, and PM is an important factor affecting air quality. D...

Nov 2020 PMID: 33217684

Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review.

The algorithms of electroencephalography (EEG) decoding are mainly based on machine learning in curr...

Nov 2020 PMID: 33167561

A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks.

In this study, which aims at early diagnosis of Covid-19 disease using X-ray images, the deep-learni...

Nov 2020 PMID: 34764560

Formal robotic training diminishes the learning curve for robotic pancreatoduodenectomy: Implications for new programs in complex robotic surgery.

INTRODUCTION: The learning curve associated with robotic pancreatoduodenectomy (RPD) is a hurdle for...

Nov 2020 PMID: 33135785

Gradient-based training and pruning of radial basis function networks with an application in materials physics.

Many applications, especially in physics and other sciences, call for easily interpretable and robus...

Nov 2020 PMID: 33212359

Sleep-Dependent Memory Consolidation in a Neuromorphic Nanowire Network.

A neuromorphic network composed of silver nanowires coated with TiO is found to show certain paralle...

Nov 2020 PMID: 33135880

Deep Learning in Proteomics.

Proteomics, the study of all the proteins in biological systems, is becoming a data-rich science. Pr...

Oct 2020 PMID: 32939979

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images.

Nuclei mymargin segmentation is a fundamental task for various computational pathology applications ...

Oct 2020 PMID: 31283474

Acceleration Magnitude at Impact Following Loss of Balance Can Be Estimated Using Deep Learning Model.

Pre-impact fall detection can detect a fall before a body segment hits the ground. When it is integr...

Oct 2020 PMID: 33126491

Simulator-generated training datasets as an alternative to using patient data for machine learning: An example in myocardial segmentation with MRI.

BACKGROUND AND OBJECTIVE: Supervised Machine Learning techniques have shown significant potential in...

Oct 2020 PMID: 33160692

Practice Management

Browse Categories

Accelerometer-Based Fall Detection Using Machine Learning: Training and Testing on Real-World Falls.

Effect of Social Anxiety on the Adoption of Robotic Training Partner.

Prediction of metabolic syndrome based on sleep and work-related risk factors using an artificial neural network.

Let's Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human-Robot Interaction at Work.

Effects of Robotic Exoskeleton-Aided Gait Training in the Strength, Body Balance, and Walking Speed in Individuals With Multiple Sclerosis: A Single-Group Preliminary Study.

Clinician Perceptions of Robotic Exoskeletons for Locomotor Training After Spinal Cord Injury: A Qualitative Approach.

Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.

PM2.5 concentration modeling and prediction by using temperature-based deep belief network.

Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review.

A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks.

Formal robotic training diminishes the learning curve for robotic pancreatoduodenectomy: Implications for new programs in complex robotic surgery.

Gradient-based training and pruning of radial basis function networks with an application in materials physics.

Sleep-Dependent Memory Consolidation in a Neuromorphic Nanowire Network.

Deep Learning in Proteomics.

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images.

Acceleration Magnitude at Impact Following Loss of Balance Can Be Estimated Using Deep Learning Model.

Simulator-generated training datasets as an alternative to using patient data for machine learning: An example in myocardial segmentation with MRI.

Robot-Assisted Arm Training versus Therapist-Mediated Training after Stroke: A Systematic Review and Meta-Analysis.

Deep neural network for water/fat separation: Supervised training, unsupervised training, and no training.

Targeted transfer learning to improve performance in small medical physics datasets.

Electromechanical-assisted training for walking after stroke.

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