Public Health & Policy

Work Force

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

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Snorkel: Rapid Training Data Creation with Weak Supervision.

Labeling training data is increasingly the largest bottleneck in deploying machine learning systems....

A brain-controlled lower-limb exoskeleton for human gait training.

Brain-computer interfaces have been a novel approach to translate human intentions into movement com...

Impact of Clinical Parameters in the Intrahost Evolution of HIV-1 Subtype B in Pediatric Patients: A Machine Learning Approach.

Determining the factors modulating the genetic diversity of HIV-1 populations is essential to unders...

Robot-Assisted Training of Arm and Hand Movement Shows Functional Improvements for Incomplete Cervical Spinal Cord Injury.

OBJECTIVE: The aim of the study was to demonstrate the feasibility, tolerability, and effectiveness ...

Slow Versus Fast Robot-Assisted Locomotor Training After Severe Stroke: A Randomized Controlled Trial.

BACKGROUND AND PURPOSE: Robot-assisted locomotor training on a bodyweight-supported treadmill is a r...

Robotic Hand-Assisted Training for Spinal Cord Injury Driven by Myoelectric Pattern Recognition: A Case Report.

A 51-year-old man with an incomplete C6 spinal cord injury sustained 26 yrs ago attended twenty 2-hr...

Effects of dose and duration of Robot-Assisted Gait Training on walking ability of children affected by cerebral palsy.

BACKGROUND: Robot-Assisted Gait Training (RAGT) is a widespread approach for locomotion rehabilitati...

Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

BACKGROUND: Robots that physically assist movement are increasingly used in rehabilitation therapy a...

NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiers.

MOTIVATION: Recent CASP experiments have witnessed exciting progress on folding large-size non-humon...

Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data.

The purpose of this study was to investigate the potential of using clinically provided spine label ...

Robotic set-up to quantify hand-eye behavior in motor execution and learning of children with autism spectrum disorder.

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a pers...

Validation of the efficiency of a robotic rehabilitation training system for recovery of severe plegie hand motor function after a stroke.

We have developed a rehabilitation training system called the Useful and Ultimate Rehabilitation Sys...

Rehabilitation for hemiplegia using an upper limb training system based on a force direction.

Hemiplegia patients have complete paralysis of half their body, and encounter many challenges in liv...

An optimized design of a parallel robot for gait training.

The guidelines for enhancing robot-assisted training for post-stroke survivors head towards increasi...

Automated stand-up and sit-down detection for robot-assisted body-weight support training with the FLOAT.

Patients with impaired walking function are often dependent on assistive devices to retrain gait and...

Addition of forelimb training reduces gains from robotic gait training in a rat model of spinal cord injury.

To restore locomotor function following spinal cord injury the disrupted descending supraspinal driv...

Timing of intermittent torque control with wire-driven gait training robot lifting toe trajectory for trip avoidance.

Gait training robots are useful for changing gait patterns and decreasing risk of trip. Previous res...

Toward goal-oriented robotic gait training: The effect of gait speed and stride length on lower extremity joint torques.

Robot-assisted gait training is becoming increasingly common to support recovery of walking function...

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