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 on motor dysfunction in Parkinson's patients:A systematic review and meta-analysis.

BACKGROUND: Robot-assisted gait training (RAGT) has been reported to treat motor dysfunction in pati...

[Automated cephalometric landmark identification and location based on convolutional neural network].

To develop an automated landmark location system applicable to the case of landmark missing. Four ...

Sampling diverse near-optimal solutions via algorithmic quantum annealing.

Sampling a diverse set of high-quality solutions for hard optimization problems is of great practica...

Quantifying the diversity of multiple time series with an ordinal symbolic approach.

The main motivation of this paper is to introduce the ordinal diversity, a symbolic tool able to qua...

ARTIFICIAL INTELLIGENCE: CREATING NEW PARADIGMS IN THE MANAGEMENT OF NON-COMMUNICABLE DISEASES.

The role of Artificial Intelligence (AI) in medical science is growing immensely. Since AI contains ...

The Evolution of Conformity, Malleability, and Influence in Simulated Online Agents.

The prevalence of artificial intelligence (AI) tools that filter the information given to internet u...

Enhancing Healthcare Through Telehealth Ecosystems: Impacts and Prospects.

This poster presents a comprehensive assessment of the transformative potential of telehealth ecosys...

End-effector lower limb robot-assisted gait training effects in subacute stroke patients: A randomized controlled pilot trial.

BACKGROUND: This pilot study investigated end-effector lower limb rehabilitation robot training effe...

Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics.

Deep Neural Networks (DNNs) are prone to learning spurious features that correlate with the label du...

Evaluation of deep learning-based deliverable VMAT plan generated by prototype software for automated planning for prostate cancer patients.

This study aims to evaluate the dosimetric accuracy of a deep learning (DL)-based deliverable volume...

Predicting metabolite-disease associations based on auto-encoder and non-negative matrix factorization.

Metabolism refers to a series of orderly chemical reactions used to maintain life activities in orga...

Development of the Biomech-Wrist: A 3-DOF Exoskeleton for Rehabilitation and Training of Human Wrist.

This work describes a three-degrees-of-freedom rehabilitation exoskeleton robot for wrist articulati...

Feasibility Study: Towards a Robot-Assisted Gait Training in Ophthalmological Rehabilitation.

The idea of using mobile assistance robots for gait training in rehabilitation has been increasingly...

Artificial intelligence and digital health in global eye health: opportunities and challenges.

Global eye health is defined as the degree to which vision, ocular health, and function are maximise...

Neural potentials of proteins extrapolate beyond training data.

We evaluate neural network (NN) coarse-grained (CG) force fields compared to traditional CG molecula...

Using a Social Robot to Engage Older Adults Living in Residential Care Homes in Cognitive Training: Preliminary Results from the SHAPES Project.

The employment of socially assistive robotics (SAR) is increasingly being considered a credible solu...

Fairness and generalisability in deep learning of retinopathy of prematurity screening algorithms: a literature review.

BACKGROUND: Retinopathy of prematurity (ROP) is a vasoproliferative disease responsible for more tha...

Toward a general neural network force field for protein simulations: Refining the intramolecular interaction in protein.

Molecular dynamics (MD) is an extremely powerful, highly effective, and widely used approach to unde...

Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data.

Supervised machine learning (ML) is revolutionising healthcare, but the acquisition of reliable labe...

Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot.

Rehabilitation training for patients with motor disabilities usually requires specialized devices in...

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