Public Health & Policy

Work Force

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

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Hiding Assistive Robots During Training in Immersive VR Does Not Affect Users' Motivation, Presence, Embodiment, Performance, Nor Visual Attention.

Combining immersive virtual reality (VR) using head-mounted displays (HMDs) with assisting robotic d...

Feasibility, effectiveness and transferability of a novel mastery-based virtual reality robotic training platform for general surgery residents.

BACKGROUND: The annual number of robotic surgical procedures is on the rise. Robotic surgery require...

Effects of Irbesartan and Amlodipine Besylate Tablets on the Intestinal Microflora of Rats With Hypertensive Renal Damage.

The present study aimed to investigate the effects of irbesartan and amlodipine besylate tablets on...

A Lower Limb Rehabilitation Assistance Training Robot System Driven by an Innovative Pneumatic Artificial Muscle System.

This study aims to develop the application of pneumatic artificial muscle (PAM) for a 2-degrees of f...

Spatiotemporal dynamics in spiking recurrent neural networks using modified-full-FORCE on EEG signals.

Methods on modelling the human brain as a Complex System have increased remarkably in the literature...

Analysis of Winning Experience and Technical Training Effect of Badminton Match Based on BP Neural Network.

The success or failure of badminton competition often depends on the training level of technical, ph...

Deep learning fetal ultrasound video model match human observers in biometric measurements.

This work investigates the use of deep convolutional neural networks (CNN) to automatically perform ...

Improving robustness of automatic cardiac function quantification from cine magnetic resonance imaging using synthetic image data.

Although having been the subject of intense research over the years, cardiac function quantification...

Towards functional robotic training: motor learning of dynamic tasks is enhanced by haptic rendering but hampered by arm weight support.

BACKGROUND: Current robot-aided training allows for high-intensity training but might hamper the tra...

Deep learning models for triaging hospital head MRI examinations.

The growing demand for head magnetic resonance imaging (MRI) examinations, along with a global short...

ProtPlat: an efficient pre-training platform for protein classification based on FastText.

BACKGROUND: For the past decades, benefitting from the rapid growth of protein sequence data in publ...

Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy.

Immunofluorescence microscopy is routinely used to visualise the spatial distribution of proteins th...

Highly Efficient and Accurate Deep Learning-Based Classification of MRI Contrast on a CPU and GPU.

Classifying MR images based on their contrast mechanism can be useful in image segmentation where ad...

Robot-assisted radical prostatectomy training: Description of a canine cadaveric model.

BACKGROUND: Assess the relevance of a canine model in robot-assisted radical prostatectomy (RARP) tr...

Is robot-assisted gait training intensity a determinant of functional recovery early after stroke? A pragmatic observational study of clinical care.

Gait rehabilitation is a critical factor in functional recovery after a stroke. The aim of this prag...

Optimal Architecture of Floating-Point Arithmetic for Neural Network Training Processors.

The convergence of artificial intelligence (AI) is one of the critical technologies in the recent fo...

Pre-training Model Based on Parallel Cross-Modality Fusion Layer.

Visual Question Answering (VQA) is a learning task that combines computer vision with natural langua...

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