Practice Management

Staffing & Scheduling

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

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Showing 1765-1785 of 6,167 articles
Load Prediction Model of Athletes' Physical Training Competition Based on Nonlinear Algorithm Combined with Ultrasound.

In order to provide theoretical support and ideas for the "dose" of high-stakes physical activity in...

An Improved Load Forecasting Method Based on the Transfer Learning Structure under Cyber-Threat Condition.

Smart grid is regarded as an evolutionary regime of existing power grids. It integrates artificial i...

Systematic Literature Review on Visual Analytics of Predictive Maintenance in the Manufacturing Industry.

The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manuf...

Accurate image-based identification of macroinvertebrate specimens using deep learning-How much training data is needed?

Image-based methods for species identification offer cost-efficient solutions for biomonitoring. Thi...

An annotated image dataset of medically and forensically important flies for deep learning model training.

Conventional methods to study insect taxonomy especially forensic and medical dipterous flies are of...

A Universal Framework for Featurization of Atomistic Systems.

Machine-learning force fields have become increasingly popular because of their balance of accuracy ...

TriATNE: Tripartite Adversarial Training for Network Embeddings.

Existing network embedding algorithms based on generative adversarial networks (GANs) improve the ro...

Two-Stage Selective Ensemble of CNN via Deep Tree Training for Medical Image Classification.

Medical image classification is an important task in computer-aided diagnosis systems. Its performan...

AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences.

Early detection of heart failure (HF) can provide patients with the opportunity for more timely inte...

Intraoperative Detection of Surgical Gauze Using Deep Convolutional Neural Network.

During laparoscopic surgery, surgical gauze is usually inserted into the body cavity to help achieve...

Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.

Auscultation plays an important role in the clinic, and the research community has been exploring ma...

Attention-based generative adversarial network in medical imaging: A narrative review.

As a popular probabilistic generative model, generative adversarial network (GAN) has been successfu...

Human Resource Data Integration System Based on Artificial Intelligence Environment.

In an AI environment, this article suggests an HR data integration system based on a hidden semantic...

Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis.

With the recent advances in the field of alternate agriculture, there has been an ever-growing deman...

Multi-Model Running Latency Optimization in an Edge Computing Paradigm.

Recent advances in both lightweight deep learning algorithms and edge computing increasingly enable ...

The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria.

Identifying cohorts of patients based on eligibility criteria such as medical conditions, procedures...

Image Segmentation of Operative Neuroanatomy Into Tissue Categories Using a Machine Learning Construct and Its Role in Neurosurgical Training.

BACKGROUND: The complexity of the relationships among the structures within the brain makes efficien...

The effects of robotic assistance on upper limb spatial muscle synergies in healthy people during planar upper-limb training.

BACKGROUND: Robotic rehabilitation is a commonly adopted technique used to restore motor functionali...

Robotic pancreatoduodenectomy: trends in technique and training challenges.

BACKGROUND: More complex cases are being performed robotically. This study aims to characterize tren...

Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence.

Under the background of artificial intelligence (AI), a human resource information management system...

Application of artificial intelligence techniques for automated detection of myocardial infarction: a review.

Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. ...

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