Staffing & Scheduling

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence.

Several studies have linked codeletion of chromosome arms 1p/19q in low-grade gliomas (LGG) with pos...

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.

Deep learning techniques are being rapidly applied to medical imaging tasks-from organ and lesion se...

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 ...

Applying a soft-robotic glove as assistive device and training tool with games to support hand function after stroke: Preliminary results on feasibility and potential clinical impact.

Recent technological developments regarding wearable soft-robotic devices extend beyond the current ...

Comparative performance analysis of M-IMU/EMG and voice user interfaces for assistive robots.

People with a high level of disability experience great difficulties to perform activities of daily ...

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...

MIT-Skywalker: Evaluating comfort of bicycle/saddle seat.

The MIT-Skywalker is a robotic device developed for the rehabilitation of gait and balance after a n...

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...

Preliminary assessment of a lower-limb exoskeleton controller for guiding leg movement in overground walking.

This paper describes the design, implementation, and preliminary validation of a controller for a po...

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...

A novel robot-assisted training approach for improving gait symmetry after stroke.

Gait asymmetry as a consequence of hemiparesis is known as a serious long-term disability, where typ...

How do strength and coordination recovery interact after stroke? A computational model for informing robotic training.

Robotic devices can train strength, coordination, or a combination of both. If a robotic device focu...

Improving motor skill transfer during dyadic robot training through the modulation of the expert role.

In daily life it is necessary to learn skills that can be applied in different tasks and different c...

[Effect of different intensity treadmill training on repair of micro-injured Achilles tendon in rats].

OBJECTIVE: To explore the effect of different intensity treadmill training on the repair of micro-in...

MORE INTELLIGENCE FOR RADIOLOGY Machine learning offers promise, but much work lies ahead.

HPLC METHOD FOR SEPARATING ENANTIOMERS OF IMIDAZOLE DERIVATIVES - ANTIFUNGAL COMPOUNDS.

The aim of this study was to test separation possibility of enantiomers of nine active substances be...