Staffing & Scheduling

A high-performance moisture-enabled generator driven by synergistic ion transport highways and engines.

Moisture-enabled generators (MEGs) often suffer from low power output and limited durability. Here, we develop a high-performance MEG based on a novel NMS/CS aerogel integrating hollow mesoporous carbon (MC), polypyrrole (PPy), polystyrene sulfonate (PSS), and chitosan (CS). By precisely tuning solvent ratios and surface potentials, dual ionic and pore gradients are constructed to synergistically ...

Impact of a medication history software on a pharmacy-driven admission medication history and reconciliation program.

PURPOSE: Medication errors frequently occur during transitional periods between outpatient and inpatient care. This study aims to evaluate the impact of an outpatient-interfacing medication history software on medication history capture rates in a pharmacy-driven admission medication history and reconciliation program utilizing a hybrid pharmacy technician staffing model. METHODS: This retrospecti...

Interpretable Machine Learning for Population-Level Tooth Loss Prediction.

Machine learning can support population-level severe tooth loss (STL; ≥6 missing teeth) risk stratification; however, a lack of calibration under doma...

Recent advances in screening, diagnosis, prognosis and personalized treatment of sepsis.

Sepsis is a multi-system physiological syndrome defined as a dysregulated host response to infection. Despite recent advances clinicians continue to d...

Psychoneuroimmunology-informed strategies for early detection of biological threat exposure: Insights from experimental rodent models.

The growing frequency of emerging infectious diseases, antimicrobial resistance, and accidental or deliberate biological threat releases underscores t...

Balancing technical and social controls across performance measurement and management stages: a bibliometric synthesis of digitally enabled healthcare performance management.

PURPOSE: An integrated, field-level synthesis of digitally enabled performance measurement and management systems (PM/PMS) in healthcare is provided, ...

Beyond Radiation Exposure: Occupational Health Challenges Across the Modern Radiology Workforce.

Radiology occupational safety has historically centred on radiation protection. Although radiation safety remains essential, the digital transformatio...

Comparing a Large Language Model to Human-Generated Retention Messages for a Family Healthy Weight Program.

BackgroundText messaging can improve attendance and retention in community health programs; however, message development can be resource intensive.Pur...

Robotics and Technologies for the Safety and Health of Farmers: A Scoping Review.

BACKGROUND: Agriculture is widely acknowledged as a dangerous industry for workers. Agriculture workers are also older compared with other industries,...

The use of artificial intelligence to predict postoperative outcomes following percutaneous nephrolithotomy: A systematic review of prognostic modeling studies.

Artificial intelligence (AI) is increasingly applied in clinical practice to enhance prediction of postoperative outcomes. This systematic review eval...

SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification.

Synapses are the fundamental units of neural computation, yet quantifying their organization across circuit-level scales remains a critical bottleneck...

Artificial intelligence for radiographic caries detection in dental education: a systematic review with functional meta-synthesis.

Introduction Dental caries remains a major global oral health burden, and accurate radiographic detection of carious lesions is a core competency in d...

Transforming Orthopaedic Trauma Care: Forecasting Operating Room Demand by Harnessing Time-Series Analysis and Machine Learning.

BACKGROUND: Efficient allocation of operating room (OR) time is critical in trauma centers, where unpredictable volumes lead to wasted resources. Fore...

Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.

BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a...

Fundamentals of Foundation Models in Radiological Image Processing: Opportunities, Limitations, and Clinical Case Studies.

ABSTRACT: Artificial intelligence (AI) has become firmly established in radiology, with most current applications relying on task-specific convolution...

Artificial Intelligence in Psychiatric Graduate Medical Education.

OBJECTIVE: Psychiatry graduate medical education (GME) faces converging pressures of increasing clinical demand, rising administrative burden, and wor...

Dual-Stream deep learning for multimodal feature fusion and classification of balance control in elite freestyle aerial skiers.

Balance control is a key determinant of stable landing in elite freestyle aerial skiing. Rapid and precise identification of subtle differences in ath...

Large Language Models and the Future of Peer-Reviewed Medical Publishing: Challenges, Editorial Responses, and a Framework for Responsible Integration.

The public release of large language models (LLMs) in late 2022 has fundamentally altered the landscape of scholarly medical publishing. LLMs now perm...

Comparative Assessment of Performance of Domain-Specific and Primed Versus Non-Primed Artificial Intelligence Chatbots for Clinical Decision-Making in Injuries to the Primary Dentition: An Exploratory Pilot Study.

BACKGROUND/AIMS: To compare the performance of a domain-specific dental trauma chatbot with general-purpose artificial intelligence chatbots under pri...

Shear Stress Modeling and Machine Learning for Nanomedicine Development: A Mechanistic Pathway to Pharmacokinetic Prediction.

Clinical translation of nanomedicines remains constrained by a persistent gap between static preclinical assays and the dynamic shear environment of t...