Public Health & Policy

Work Force

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

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[Mirror-type rehabilitation training with dynamic adjustment and assistance for shoulder joint].

The real physical image of the affected limb, which is difficult to move in the traditional mirror t...

Training Spiking Neural Networks in the Strong Coupling Regime.

Recurrent neural networks trained to perform complex tasks can provide insight into the dynamic mech...

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.

In the field of artificial intelligence, a combination of scale in data and model capacity enabled b...

[Effect of rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy on postoperative rehabilitation with hip fracture].

OBJECTIVE: To compare the therapeutic effect between rehabilitation robot rehabilitation training sy...

[A convolutional neural network based model for assisting pathological diagnoses on thyroid liquid-based cytology].

To develop a convolutional neural network based model for assisting pathological diagnoses on thyro...

Effects of passive and active training modes of upper-limb rehabilitation robot on cortical activation: a functional near-infrared spectroscopy study.

OBJECTIVE: The purpose of this study is to investigate the cortical activation during passive and ac...

Deep generative selection models of T and B cell receptor repertoires with soNNia.

Subclasses of lymphocytes carry different functional roles to work together and produce an immune re...

[Stakeholder Analysis of the Application of Artificial Intelligence in the Field of Primary Health Care].

The application of artificial intelligence in the field of primary health care can effectively impro...

Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.

Gait automaticity is reduced in patients with Parkinson disease (PD) due to impaired habitual contro...

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training.

Artificial intelligence (AI) holds much promise for enabling highly desired imaging diagnostics impr...

DS-GCNs: Connectome Classification using Dynamic Spectral Graph Convolution Networks with Assistant Task Training.

Functional connectivity (FC) matrices measure the regional interactions in the brain and have been w...

Achieving Equitable Access to Medicines and Health Services: A COVID-19-time Recalled Matter.

In the 21 century, while some people seek to use artificial intelligence for health services deliver...

Combined transcranial Direct Current Stimulation and robot-assisted arm training in patients with stroke: a systematic review.

BACKGROUND: Upper limb motor deficits in patients with severe stroke often remain unresolved over ti...

The effect of patient-specific factors on responsiveness to robot-assisted gait training in patients with bilateral spastic cerebral palsy.

BACKGROUND: No general recommendations are yet available for the application of robot-assisted tread...

[Automatic Quantification of Breast Density from Mammography Using Deep Learning].

BACKGROUND: In the field of breast screening using mammography, announcing to the examinees whether ...

The effect of robot-assisted gait training on cortical activation in stroke patients: A functional near-infrared spectroscopy study.

OBJECTIVE: To investigate the effects of the robot-assisted gait training on cortical activation and...

Cost-Effective Machine Learning Based Clinical Pre-Test Probability Strategy for DVT Diagnosis in Neurological Intensive Care Unit.

In order to overcome the shortage of the current costly DVT diagnosis and reduce the waste of valuab...

Effect of robotic exoskeleton gait training during acute stroke on functional ambulation.

BACKGROUND: Stroke is a leading cause of disability resulting in long-term functional ambulation def...

Can occupational therapy manpower be replaced with social robots in a singing group during COVID-19?

BACKGROUND: Prior to the COVID-19 global health emergency, reducing direct contacts between therapis...

Sequence-Based Deep Learning Frameworks on Enhancer-Promoter Interactions Prediction.

Enhancer-promoter interactions (EPIs) in the human genome are of great significance to transcription...

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