Practice Management

Staffing & Scheduling

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

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Showing 253-273 of 6,118 articles
Tumor-specific draining lymph node CD8 T cells orchestrate an anti-tumor response to neoadjuvant PD-1 immune checkpoint blockade.

Elucidating the anti-tumor role of tumor-draining lymph nodes (tdLNs) in patients could offer critic...

Unsophisticated AI coaching does not improve performance on symptom and performance validity tests in a Romanian sample of experimental feigners.

The present study aimed to investigate the ability of symptom and performance validity indicators to...

SPAS-Dataset-BD: Dataset for smart precision agriculture system in Bangladesh.

Precision agriculture harnesses data-driven techniques to optimize crop production, resource use, an...

Artificial Intelligence's Role in Improving Adverse Pregnancy Outcomes: A Scoping Review and Consideration of Ethical Issues.

: Adverse pregnancy outcomes (APOs), which include hypertensive disorders of pregnancy (gestational ...

Personality and job performance: A review of trait models and recent trends.

Personality traits are among the strongest non-cognitive predictors of job performance, but many tra...

Self-supervised brain lesion generation for effective data augmentation of medical images.

Accurate brain lesion delineation is important for planning neurosurgical treatment. Automatic brain...

Advancing Musculoskeletal Care Using AI and Digital Health Applications: A Review of Commercial Solutions.

Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) c...

Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review.

Football, as a dynamic and complex sport, demands an understanding of tactical behaviors to excel in...

A review on spectral data preprocessing techniques for machine learning and quantitative analysis.

Spectroscopic techniques are indispensable for material characterization, yet their weak signals rem...

A Review of Software in Clinical Trials: FDA Regulatory Frameworks and Addressing Challenges.

An essential tool for assessing the efficacy and safety of novel therapies and interventions is the ...

Demonstration of accurate ID-VG characteristics modeling in SiC mosfets using separated artificial neural networks with small training dataset.

This study developed a novel approach based on separated artificial neural networks (ANNs) to effici...

ASight: Fine-tuning Auto-Scheduling Optimizations for Model Deployment via Visual Analytics.

Upon completing the design and training phases, deploying a deep learning model to specific hardware...

Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs.

Spiking neural networks (SNNs) have garnered interest due to their energy efficiency and superior ef...

Reversible molecular simulation for training classical and machine-learning force fields.

The next generation of force fields for molecular dynamics will be developed using a wealth of data....

Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis.

Multiple sclerosis (MS) is a chronic inflammatory disease characterized by demyelinating lesions in ...

Artificial Intelligence in Value-Based Health Care.

Artificial intelligence (AI) presents new opportunities to advance value-based healthcare in orthope...

A Reinforcement Learning Control Framework Based on Scalable Graph Transformer for Large-Scale Fuzzy Job Shop Scheduling Problems.

The job shop scheduling problem (JSSP) is a classic NP-hard problem. This article focuses on a reali...

Impact of generative artificial intelligence on the professional qualities curriculum and reflection essays during physician training.

The professional development curriculum is a vital component in physician training and is important ...

A Bibliometric Review of Person-Centered Care Research 2010-2024.

: Person-centered care (PCC) has become a pivotal concept in healthcare. At present, no published st...

Multiple Instance Learning for the Detection of Lymph Node and Omental Metastases in Carcinoma of the Ovaries, Fallopian Tubes and Peritoneum.

: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...

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