Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Automated Training of Deep Convolutional Neural Networks for Cell Segmentation.

Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentat...

Neural network for regression problems with reduced training sets.

Although they are powerful and successful in many applications, artificial neural networks (ANNs) ty...

Vertical zonation and functional diversity of fish assemblages revealed by ROV videos at oil platforms in The Gulf.

An assessment of vertical distribution, diel migration, taxonomic and functional diversity of fishes...

Research on Safety and Compliance of a New Lower Limb Rehabilitation Robot.

The lower limb rehabilitation robot is an application of robotic technology for stroke people with l...

Robotic Gait Training for Individuals With Cerebral Palsy: A Systematic Review and Meta-Analysis.

OBJECTIVE: To identify the effects of robotic gait training practices in individuals with cerebral p...

AExaCTT - Aerobic Exercise and Consecutive Task-specific Training for the upper limb after stroke: Protocol for a randomised controlled pilot study.

Motor function may be enhanced if aerobic exercise is paired with motor training. One potential mech...

Robot Assisted Training for the Upper Limb after Stroke (RATULS): study protocol for a randomised controlled trial.

BACKGROUND: Loss of arm function is a common and distressing consequence of stroke. We describe the ...

Effects of Robot-Assisted Training for the Unaffected Arm in Patients with Hemiparetic Cerebral Palsy: A Proof-of-Concept Pilot Study.

On a voluntary basis, 10 adolescents with hemiparesis due to cerebral palsy and 11 neurologically he...

Randomized Trial on the Effects of Attentional Focus on Motor Training of the Upper Extremity Using Robotics With Individuals After Chronic Stroke.

OBJECTIVE: To compare the long-term effects of external focus (EF) and internal focus (IF) of attent...

Robot-Assisted Training for People With Spinal Cord Injury: A Meta-Analysis.

OBJECTIVE: To investigate the effects of robot-assisted training on the recovery of people with spin...

Training Surgical Residents With a Haptic Robotic Central Venous Catheterization Simulator.

OJECTIVE: Ultrasound guided central venous catheterization (CVC) is a common surgical procedure with...

Accelerating deep neural network training with inconsistent stochastic gradient descent.

Stochastic Gradient Descent (SGD) updates Convolutional Neural Network (CNN) with a noisy gradient c...

Development and Implementation of an End-Effector Upper Limb Rehabilitation Robot for Hemiplegic Patients with Line and Circle Tracking Training.

Numerous robots have been widely used to deliver rehabilitative training for hemiplegic patients to ...

1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life.

We present 1,003 reference genomes that were sequenced as part of the Genomic Encyclopedia of Bacter...

Modifying upper-limb inter-joint coordination in healthy subjects by training with a robotic exoskeleton.

BACKGROUND: The possibility to modify the usually pathological patterns of coordination of the upper...

Robotic Resistance Treadmill Training Improves Locomotor Function in Children With Cerebral Palsy: A Randomized Controlled Pilot Study.

OBJECTIVE: To determine whether applying controlled resistance forces to the legs during the swing p...

Electromechanical-assisted training for walking after stroke.

BACKGROUND: Electromechanical- and robotic-assisted gait-training devices are used in rehabilitation...

Experimental evaluation of a novel robotic hospital bed mover with omni-directional mobility.

Bed pushing during patient transfer is one of the most physically demanding and yet common tasks in ...

A Grouping Particle Swarm Optimizer with Personal-Best-Position Guidance for Large Scale Optimization.

Particle Swarm Optimization (PSO) is a popular algorithm which is widely investigated and well imple...

Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines.

Extreme Learning Machine (ELM) is a fast-learning algorithm for a single-hidden layer feedforward ne...

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