Public Health & Policy

Work Force

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

4,201 articles
Stay Ahead - Weekly Work Force research updates
Subscribe
Browse Categories
Showing 2710-2730 of 4,201 articles
An Efficient Method to Predict Pneumonia from Chest X-Rays Using Deep Learning Approach.

Pneumonia is a severe health problem causing millions of deaths every year. The aim of this study wa...

Effects of trunk stabilization training robot on postural control and gait in patients with chronic stroke: a randomized controlled trial.

Our study aimed to confirm the therapeutic effects of using a trunk stabilization training robot (3D...

Artificial Intelligence and Orthopaedics: An Introduction for Clinicians.

➤. Artificial intelligence (AI) provides machines with the ability to perform tasks using algorithms...

Polar labeling: silver standard algorithm for training disease classifiers.

MOTIVATION: Expert-labeled data are essential to train phenotyping algorithms for cohort identificat...

[Progress in biomedical data analysis based on deep learning].

Traditional biomedical data analysis technology faces enormous challenges in the context of the big ...

[A fusion network model based on limited training samples for the automatic segmentation of pelvic endangered organs].

When applying deep learning to the automatic segmentation of organs at risk in medical images, we co...

Role of Instruction Adherence During Highly Structured Robotic Arm Training on Motor Outcomes for Individuals After Chronic Stroke.

The aim of this study was to examine the effects of instruction adherence on upper limb motor outcom...

Pre-trained language model augmented adversarial training network for Chinese clinical event detection.

Clinical event detection (CED) is a hot topic and essential task in medical artificial intelligence,...

A TrAdaBoost Method for Detecting Multiple Subjects' N200 and P300 Potentials Based on Cross-Validation and an Adaptive Threshold.

Traditional training methods need to collect a large amount of data for every subject to train a sub...

[A review on multi-modal human motion representation recognition and its application in orthopedic rehabilitation training].

Human motion recognition (HAR) is the technological base of intelligent medical treatment, sports tr...

[Research on assist-as-needed control strategy of wrist function-rehabilitation robot].

In order to stimulate the patients' active participation in the process of robot-assisted rehabilita...

Identifying enhancer-promoter interactions with neural network based on pre-trained DNA vectors and attention mechanism.

MOTIVATION: Identification of enhancer-promoter interactions (EPIs) is of great significance to huma...

The Enterprise Imaging Value Proposition.

As resources in the healthcare environment continue to wane, leaders are seeking ways to continue to...

Impact of smart force feedback rehabilitation robot training on upper limb motor function in the subacute stage of stroke.

OBJECTIVE: To explore the impact of rehabilitation robot training (RRT) on upper limb motor function...

Robot-assisted gait training promotes brain reorganization after stroke: A randomized controlled pilot study.

BACKGROUND: Robot-assisted gait training (RAGT) can improve walking ability after stroke but the und...

Lessons learned from conducting a pragmatic, randomized, crossover trial on robot-assisted gait training in children with cerebral palsy (PeLoGAIT).

PURPOSE: To investigate the effectiveness of outpatient robot-assisted gait training (RAGT) in ambul...

Effects of robot-assisted gait training alongside conventional therapy on the development of walking in children with cerebral palsy.

PURPOSE: To investigate the effects of robot-assisted gait training (RAGT) alongside conventional th...

Training in robot-assisted surgery.

PURPOSE OF REVIEW: The aim of this narrative review is to identify the currently available training ...

Browse Categories