Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Showing 1597-1617 of 6,167 articles
Robot-assisted rehabilitation training improves knee function and daily activity ability in older adults following total knee arthroplasty.

To evaluate the effects of robot-assisted rehabilitation training on knee function and the daily act...

Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities.

BACKGROUND: Artificial intelligence (AI) and machine learning are transforming the optimization of c...

Variable three-term conjugate gradient method for training artificial neural networks.

Artificial neural networks (ANNs) have been widely adopted as general computational tools both in co...

Data augmentation for medical imaging: A systematic literature review.

Recent advances in Deep Learning have largely benefited from larger and more diverse training sets. ...

Improving colorectal cancer screening - consumer-centred technological interventions to enhance engagement and participation amongst diverse cohorts.

The current "Gold Standard" colorectal cancer (CRC) screening approach of faecal occult blood test (...

Immersive Virtual Reality during Robot-Assisted Gait Training: Validation of a New Device in Stroke Rehabilitation.

Background and objective: Duration of rehabilitation and active participation are crucial for gait r...

Robotic training for medical students: feasibility of a pilot simulation curriculum.

While robotic procedures are growing rapidly, medical students have a limited role in robotic surger...

Prediction of Marathon Performance using Artificial Intelligence.

Although studies used machine learning algorithms to predict performances in sports activities, none...

Investigating Cardiorespiratory Interaction Using Ballistocardiography and Seismocardiography-A Narrative Review.

Ballistocardiography (BCG) and seismocardiography (SCG) are non-invasive techniques used to record t...

Cost analysis of training residents in robotic-assisted surgery.

INTRODUCTION: Use of robotic-assisted surgery is increasing, and resident involvement may lead to hi...

Application of gas chromatographic data and 2D molecular descriptors for accurate global mobility potential prediction.

Mobility is a key feature affecting the environmental fate, which is of particular importance in the...

Comparison of Modern Control Methods for Soft Robots.

With the rise in new soft robotic applications, the control requirements increase. Therefore, precis...

The effect of the 2-UPS/RR ankle rehabilitation robot with coupling biomechanical model on muscle behaviors.

With the popularization of biomechanical simulation technology, aiming at the rehabilitation of ankl...

LPAI-A Complete AIoT Framework Based on LPWAN Applicable to Acoustic Scene Classification Scenarios.

Deploying artificial intelligence on edge nodes of Low-Power Wide Area Networks can significantly re...

Using Simulated Training Data of Voxel-Level Generative Models to Improve 3D Neuron Reconstruction.

Reconstructing neuron morphologies from fluorescence microscope images plays a critical role in neur...

Turning words into numbers: Assessing work attitudes using natural language processing.

Researchers and practitioners are often interested in assessing employee attitudes and work percepti...

Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia.

Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence a...

Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance.

Anterior segment optical coherence tomography (AS-OCT) is a fundamental ophthalmic imaging technique...

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