Staffing & Scheduling

Evaluating Performance of a Deep Learning Multilabel Segmentation Model to Quantify Acute and Chronic Brain Lesions at MRI after Stroke and Predict Prognosis.

Purpose To develop and evaluate a multilabel deep learning network to identify and quantify acute an...

Energy and time-aware scheduling in diverse virtualized cloud computing environments using optimized self-attention progressive generative adversarial network.

The rapid growth of cloud computing has led to the widespread adoption of heterogeneous virtualized ...

Robotic task specific training for upper limb neurorehabilitation: a mixed methods feasibility trial reporting achievable dose.

PURPOSE: Robotic devices for upper-limb neurorehabilitation allow an increase in intensity of practi...

[Trajectory planning and tracking control for upper limb traction rehabilitation training].

To solve the safety problems caused by the restriction of interaction space and the singular configu...

Using C4.5 Algorithm to Gain Insights on Stakeholder Engagement and Use of Artificial Intelligence on Social Media in Dementia Caregiving Disparity Research.

We applied machine learning techniques to build models that predict perceived risks and benefits of ...

Comparison of performance of artificial intelligence tools in answering emergency medicine question pool: ChatGPT 4.0, Google Gemini and Microsoft Copilot.

OBJECTIVE: Using artificial intelligence tools that work with different software architectures for b...

Optimising Nurse-Patient Assignments: The Impact of Machine Learning Model on Care Dynamics-Discursive Paper.

BACKGROUND: Machine learning (ML) models can enhance patient-nurse assignments in healthcare organis...

The Role of Artificial Intelligence in Nursing Care: An Umbrella Review.

Artificial intelligence (AI) is revolutionizing nursing by enhancing decision-making, patient monito...

The Shape of the Brain's Connections Is Predictive of Cognitive Performance: An Explainable Machine Learning Study.

The shape of the brain's white matter connections is relatively unexplored in diffusion magnetic res...

Integrating Artificial Intelligence (AI) With Workforce Solutions for Sustainable Care: A Follow Up to Artificial Intelligence and Machine Learning (ML) Based Decision Support Systems in Mental Health.

This integrative literature review examines the evolving role of artificial intelligence (AI) and ma...

Using GPT-4o to interpret patient-reported outcomes without training.

Breaking the barrier of human-annotated training data for machine learning-aided plant research using aerial imagery.

Machine learning (ML) can accelerate biological research. However, the adoption of such tools to fac...

The use of large language models to enhance cancer clinical trial educational materials.

BACKGROUND: Adequate patient awareness and understanding of cancer clinical trials is essential for ...

Machine Learning-Based Rapid Prediction of Torsional Performance of Personalized Peripheral Artery Stent.

The complex mechanical environment of peripheral arteries makes stents with poor torsional performan...

A glance into the future of artificial intelligence-enhanced scalable personalized training: A response to Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025).

The two articles by Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025) mark a ne...

AtSubP-2.0: An integrated web server for the annotation of Arabidopsis proteome subcellular localization using deep learning.

The organization of subcellular components in a cell is critical for its function and studying cellu...

Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules.

Purpose To evaluate the performance of eight lung cancer prediction models on patient cohorts with s...

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition.

Purpose To investigate whether the computational effort of three-dimensional CT-based multiorgan seg...

Potential roles for artificial intelligence in clinical microbiology from improved diagnostic accuracy to solving the staffing crisis.

OBJECTIVES: This review summarizes the current and potential uses of artificial intelligence (AI) in...

Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review.

Rehabilitation following a stroke faces challenges in offering customized treatment and attaining th...

The Impact of AI-driven Remote Patient Monitoring on Cancer Care: A Systematic Review.

The coronavirus disease 2019 (COVID-19) pandemic necessitated a shift in healthcare delivery, emphas...