Practice Management

Staffing & Scheduling

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

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Showing 757-777 of 6,144 articles
Effectiveness of robotic rehabilitation for gait and balance in people with multiple sclerosis: a systematic review.

This review investigated the effectiveness of robotic-assisted gait training (RAGT) in improving gai...

Learning to match patients to clinical trials using large language models.

OBJECTIVE: This study investigates the use of Large Language Models (LLMs) for matching patients to ...

Effects of end-effector robotic arm reach training with functional electrical stimulation for chronic stroke survivors.

BACKGROUND: Upper-extremity dysfunction significantly affects dependence in the daily lives of strok...

Assist me or replace me? Uncovering the influence of AI awareness on employees' counterproductive work behaviors.

OBJECTIVE: Drawing on the conservation of resources theory (COR), the research aims to reveal the in...

Deep Learning Approaches for Brain Tumor Detection and Classification Using MRI Images (2020 to 2024): A Systematic Review.

Brain tumor is a type of disease caused by uncontrolled cell proliferation in the brain leading to s...

Training artificial neural networks using self-organizing migrating algorithm for skin segmentation.

This study presents an application of the self-organizing migrating algorithm (SOMA) to train artifi...

Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset.

Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable...

Managing spatio-temporal heterogeneity of susceptibles by embedding it into an homogeneous model: A mechanistic and deep learning study.

Accurate prediction of epidemics is pivotal for making well-informed decisions for the control of in...

Development of a Predictive Hospitalization Model for Skilled Nursing Facility Patients.

OBJECTIVES: Identifying skilled nursing facility (SNF) patients at risk for hospitalization or death...

Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean.

Soil salinization is a critical global issue for sustainable agriculture, impacting crop yields and ...

A Data-Centric Approach to improve performance of deep learning models.

The Artificial Intelligence has evolved and is now associated with Deep Learning, driven by availabi...

ReBiA-Robotic Enabled Biological Automation: 3D Epithelial Tissue Production.

The Food and Drug Administration's recent decision to eliminate mandatory animal testing for drug ap...

HybMED: A Hybrid Neural Network Training Processor With Multi-Sparsity Exploitation for Internet of Medical Things.

Cloud-based training and edge-based inference modes for Artificial Intelligence of Medical Things (A...

Performance of a Novel Muscle Synergy Approach for Continuous Motion Estimation on Untrained Motion.

When applying continuous motion estimation (CME) model based on sEMG to human-robot system, it is in...

3-1-3 Weight averaging technique-based performance evaluation of deep neural networks for Alzheimer's disease detection using structural MRI.

Alzheimer's disease (AD) is a progressive neurological disorder. It is identified by the gradual shr...

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