Practice Management

Staffing & Scheduling

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

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Showing 232-252 of 6,118 articles
Relationship between amino acid metabolism and inflammation in coronary heart disease (Review).

This review delves into the intricate relationship between amino acid metabolism and inflammation in...

Cerebral aneurysm surgical training in the neuroendovascular era and its impact on the production of comfortable aneurysm surgeons.

BACKGROUND: The increasing use of endovascular techniques has greatly decreased the number of intrac...

Transferability of Data Sets between Machine-Learned Interatomic Potential Algorithms.

The emergence of Foundational Machine Learning Interatomic Potential (FMLIP) models trained on exten...

A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation.

In clinical medicine, a reliable and resource-friendly computer-aided diagnosis (CAD) method for bra...

Designing diverse and high-performance proteins with a large language model in the loop.

We present a protein engineering approach to directed evolution with machine learning that integrate...

BaSbBS: a record-high-performance birefringent crystal identified by a target-driven closed-loop strategy.

Exploring infrared (IR) birefringent materials with both large birefringence (Δ) and wide band gaps ...

Advancing blood cell detection and classification: performance evaluation of modern deep learning models.

The detection and classification of blood cells are important in diagnosing and monitoring a variety...

Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study.

BACKGROUND: Nurse scheduling is a complex challenge in health care, impacting both patient care qual...

Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals.

Numerous studies have demonstrated that eyeblinks and other large artifacts can decrease the signal-...

The potentials and challenges of integrating generative artificial intelligence (AI) in dental and orthodontic education: a systematic review.

BACKGROUND: Generative AI technologies offer significant opportunities to enhance orthodontic educat...

Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning.

This study aims to enhance the accuracy and efficiency of energy consumption prediction during exerc...

Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.

Systematic literature review (SLR) is an important tool for Health Economics and Outcomes Research (...

Assessing medical students' readiness for artificial intelligence after pre-clinical training.

BACKGROUND: Artificial intelligence (AI) is becoming increasingly relevant in healthcare, necessitat...

Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Machine learning is increasingly used to predict lifestyle-related disease onset using health and me...

Performance of deep-learning-based approaches to improve polygenic scores.

Polygenic scores, which estimate an individual's genetic propensity for a disease or trait, have the...

Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

Occupational stress is a major concern for employers and organizations as it compromises decision-ma...

Evaluation of sports training methods and technical characteristics based on multi-dimensional driving fuzzy intelligent computing.

To improve the competitive state of badminton athletes and summarize the technical characteristics o...

Training Set Design for Uneven Illumination Correction in High-Resolution Whole Slide Images.

Uneven illumination correction is considered a critical pre-processing step in creating digital imag...

Emerging Imaging Technologies in Forensic Medicine: A Systematic Review of Innovations, Ethical Challenges, and Future Directions.

Forensic medicine has increasingly integrated advanced imaging technologies to improve the accuracy ...

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