Public Health & Policy

Work Force

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

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Robot-assistant for MRI-guided liver ablation: A pilot study.

PURPOSE: Percutaneous ablation under MRI-guidance allows treating otherwise inoperable liver tumors ...

Evaluation of a mixed controller that amplifies spatial errors while reducing timing errors.

Previous results suggest that haptic guidance enhances learning of the timing components of motor ta...

Telehomecare telecommunication framework - from remote patient monitoring to video visits and robot telepresence.

Over the last few years, the number of remote patient monitoring (RPM) products and of videoconferen...

Activity recognition in patients with lower limb impairments: do we need training data from each patient?

Machine learning allows detecting specific physical activities using data from wearable sensors. Suc...

Improve the generalization of emotional classifiers across time by using training samples from different days.

Electroencephalographic (EEG)-based emotion recognition has attracted increasing attention from the ...

The power of data mining in diagnosis of childhood pneumonia.

Childhood pneumonia is the leading cause of death of children under the age of 5 years globally. Dia...

Conflicting results of robot-assisted versus usual gait training during postacute rehabilitation of stroke patients: a randomized clinical trial.

Robot gait training has the potential to increase the effectiveness of walking therapy. Clinical out...

A Computational Index to Describe Slacking During Robot Therapy.

Movement facilitation has a fundamental role in the rehabilitation treatment of stroke survivors. Ho...

Robot-assisted gait training versus treadmill training in patients with Parkinson's disease: a kinematic evaluation with gait profile score.

The purpose of this study was to quantitatively compare the effects, on walking performance, of end-...

Kinematic measures for upper limb motor assessment during robot-mediated training in patients with severe sub-acute stroke.

PURPOSE: Kinematic assessments are increasingly used as motor outcome measures during upper limb rob...

Transvertebral direct current stimulation paired with locomotor training in chronic spinal cord injury: A case study.

STUDY DESIGN: This double-blind, sham-controlled, crossover case study combined transvertebral direc...

Non-invasive brain stimulation and robot-assisted gait training after incomplete spinal cord injury: A randomized pilot study.

BACKGROUND: Locomotor training with a robot-assisted gait orthosis (LT-RGO) and transcranial direct ...

Alignment-Free Methods for the Detection and Specificity Prediction of Adenylation Domains.

Identifying adenylation domains (A-domains) and their substrate specificity can aid the detection of...

[Simulation-based robot-assisted surgical training].

Since the first use of robotic surgical system in 2000, the robot-assisted technology has gained wid...

Effect of vitamin E succinate on inflammatory cytokines induced by high-intensity interval training.

AIM AND SCOPE: The anti-inflammatory effect of vitamin E under moderate exercises has been evaluated...

Robot-assisted training for heart failure patients - a small pilot study.

OBJECTIVE: The objective of this study was assess robot-assisted gait therapy with the Lokomat® syst...

Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke.

Stroke, as a major risk factor for chronic impairment of upper limb function, can severely restrict ...

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