Public Health & Policy

Work Force

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

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Pre-training graph neural networks for link prediction in biomedical networks.

MOTIVATION: Graphs or networks are widely utilized to model the interactions between different entit...

PercolationDF: A percolation-based medical diagnosis framework.

With the continuing shortage and unequal distribution of medical resources, our objective is to dev...

CapsNet-COVID19: Lung CT image classification method based on CapsNet model.

The outbreak of the Corona Virus Disease 2019 (COVID-19) has posed a serious threat to human health ...

The efficacy of robot-assisted training for patients with upper limb amputations who use myoelectric prostheses: a randomized controlled pilot study.

The aim of this pilot study was to investigate whether a movement therapy robot can improve skills i...

Deep learning image transmission through a multimode fiber based on a small training dataset.

An improved deep neural network incorporating attention mechanism and DSSIM loss function (AM_U_Net)...

Color computational ghost imaging by deep learning based on simulation data training.

We present a new color computational ghost imaging strategy using a sole single-pixel detector and t...

Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data.

Critical care can benefit from analyzing data by machine learning approaches for supporting clinical...

Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other ...

Evidence-based improvement of gait in post-stroke patients following robot-assisted training: A systematic review.

BACKGROUND: The recovery of walking after stroke is a priority goal for recovering autonomy. In the ...

CNN Features and Optimized Generative Adversarial Network for COVID-19 Detection from Chest X-Ray Images.

Coronavirus is a RNA type virus, which makes various respiratory infections in both human as well as...

A Deep Learning based Solution (Covi-DeteCT) Amidst COVID-19.

BACKGROUND: The whole world has been severely affected due to the COVID-19 pandemic. The rapid and l...

Protocolized Training of Advanced Practice Providers for Robotic Surgery Improves the Quality of Intraoperative Assistance.

BACKGROUND: The expansion of robotic surgery requires identifying factors of competent robotic bedsi...

Virtual reality combined with robot-assisted gait training to improve walking ability of children with cerebral palsy: A randomized controlled trial.

BACKGROUND: Children with cerebral palsy (CP) have disorders of posture and movement and which can l...

Robot-assisted gait training in patients with Parkinson's disease: Implications for clinical practice. A systematic review.

BACKGROUND: Gait impairments are common disabling symptoms of Parkinson's disease (PD). Among the ap...

In silico proof of principle of machine learning-based antibody design at unconstrained scale.

Generative machine learning (ML) has been postulated to become a major driver in the computational d...

Usability evaluation of an interactive leg press training robot for children with neuromuscular impairments.

BACKGROUND: The use of robotic technology for neurorehabilitative applications has become increasing...

Comparative effects of passive and active mode robot-assisted gait training on brain and muscular activities in sub-acute and chronic stroke.

BACKGROUND: Robot-assisted gait training (RAGT) was initially developed based on the passive control...

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