Practice Management

Staffing & Scheduling

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

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Showing 3487-3507 of 6,203 articles
Evaluating a Convolutional Neural Network Noise Reduction Method When Applied to CT Images Reconstructed Differently Than Training Data.

OBJECTIVE: The aim of this study was to evaluate a narrowly trained convolutional neural network (CN...

The Effect of Transcranial Direct Current Stimulation on Basketball Performance-A Scoping Review.

: Basketball performance requires not only intermittent high-intensity movements-such as sprinting, ...

User-Centered Methods in Explainable AI Development for Hospital Clinical Decision Support: A Scoping Review.

Explainable Artificial Intelligence (XAI) offers promising advancements in enhancing transparency an...

Insights into radiomics: a comprehensive review for beginners.

Radiomics and artificial intelligence (AI) are rapidly evolving, significantly transforming the fiel...

A self-conformation-aware pre-training framework for molecular property prediction with substructure interpretability.

The major challenges in drug development stem from frequent structure-activity cliffs and unknown dr...

Managing online employer reviews: An impression management perspective for talent recruitment.

The powerful effects of electronic word of mouth on employer branding and prehire outcomes suggest a...

Can American Board of Surgery in Training Examinations be passed by Large Language Models? Comparative assessment of Gemini, Copilot, and ChatGPT.

ObjectiveThis study aimed to evaluate the performance of large language models (LLMs) in answering q...

Predictive athlete performance modeling with machine learning and biometric data integration.

The Purpose of this study is to propose a new integrative framework for athletic performance predict...

Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi Study.

In this secondary analysis of a multinational Delphi study, experts from low- and middle-income coun...

Multi-Task Collaborative Assisted Training Method for Grouping Fuzzy Categories Classification of Cervical Cancer Cells.

Cervical cancer is a malignant tumor that endangers women's life and health. While deep learning has...

Prediction of Auditory Performance in Cochlear Implants Using Machine Learning Methods: A Systematic Review.

Cochlear implantation is an advantageous procedure for individuals with severe to profound hearing ...

GenAI and the psychology of work.

Work is a central source of identity and meaning. The rapid and widespread adoption of generative ar...

Improving photovoltaic water pumping system performance with PSO-based MPPT and PSO-based direct torque control using real-time simulation.

This work aims to enhance the performance of Photovoltaic Water Pumping Systems (PVWPS) by optimizin...

Potential of artificial intelligence for radiation dose reduction in computed tomography -A scoping review.

INTRODUCTION: Artificial intelligence (AI) is now transforming medical imaging, with extensive ramif...

Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction.

Employee churn is a critical issue for companies and organizations, as it directly impacts productiv...

Amelioration of Chronic Ethanol Administration-Induced Learning and Memory Impairments by High-Intensity Interval Training (HIIT) and Ritalin.

OBJECTIVES: The current study aimed to investigate the impacts of 8-week high-intensity interval tra...

Artificial Intelligence in Spine Imaging: A Paradigm Shift in Diagnosis and Care.

Recent advancements in artificial intelligence (AI) can significantly improve radiologists' workflow...

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

In recent years, artificial intelligence (AI) has brought about a significant transformation in heal...

Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review.

BACKGROUND: Metabolic syndrome (MetS) is a progressive chronic pathophysiological state characterise...

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