Public Health & Policy

Work Force

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

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Effect of Robot-Assisted Gait Training in a Large Population of Children With Motor Impairment Due to Cerebral Palsy or Acquired Brain Injury.

OBJECTIVE: To evaluate retrospectively the effect of robotic rehabilitation in a large group of chil...

Making the Jump: A Qualitative Analysis on the Transition From Bedside Assistant to Console Surgeon in Robotic Surgery Training.

OBJECTIVE: To determine barriers associated with the transition from bedside assistant to console su...

Adversarial training based lattice LSTM for Chinese clinical named entity recognition.

Clinical named entity recognition (CNER), which intends to automatically detect clinical entities in...

Unsupervised machine learning using an imaging mass spectrometry dataset automatically reassembles grey and white matter.

Current histological and anatomical analysis techniques, including fluorescence in situ hybridisatio...

A segmentation method combining probability map and boundary based on multiple fully convolutional networks and repetitive training.

Cell nuclei image segmentation technology can help researchers observe each cell's stress response t...

An analysis of training and generalization errors in shallow and deep networks.

This paper is motivated by an open problem around deep networks, namely, the apparent absence of ove...

Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification.

Document classification aims to assign one or more classes to a document for ease of management by u...

Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis.

Multiple sclerosis (MS) is the most common demyelinating disease. In MS, demyelination occurs in the...

Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language.

Real time hand movement trajectory tracking based on machine learning approaches may assist the earl...

Prediction of Potential Drug-Disease Associations through Deep Integration of Diversity and Projections of Various Drug Features.

Identifying new indications for existing drugs may reduce costs and expedites drug development. Drug...

An Integrated Fuzzy AHP and Fuzzy TOPSIS Approach to Assess Sustainable Urban Development in an Emerging Economy.

Sustainable urban development (SUD) requires a balance between economic growth, social well-being, a...

Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI With Limited Training Data.

In this work we reduce undersampling artefacts in two-dimensional (2D) golden-angle radial cine card...

One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks.

Artificial neural networks, trained to perform cognitive tasks, have recently been used as models fo...

Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition.

Sensor-based human activity recognition (HAR) has attracted interest both in academic and applied fi...

New Motion Intention Acquisition Method of Lower Limb Rehabilitation Robot Based on Static Torque Sensors.

The rehabilitation robot is an application of robotic technology for people with limb disabilities. ...

Automatic cataract grading methods based on deep learning.

BACKGROUND AND OBJECTIVE: The shortage of ophthalmologists in rural areas in China causes a lot of c...

Clinical effects of robot-assisted gait training and treadmill training for Parkinson's disease. A randomized controlled trial.

BACKGROUND: Although gait disorders strongly contribute to perceived disability in people with Parki...

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