Staffing & Scheduling

Inhibition of the p38/JNK MAPK pathway mediated by circadian rhythm genes: Study of the mechanism of Linggan Wuwei Jiangxin decoction in the treatment of COPD.

ETHNOPHARMACOLOGICAL RELEVANCE: Chronic obstructive pulmonary disease (COPD) is a frequently encountered respiratory disease. Its clinical symptoms are characterized by long-term coughing, expectoration, and other airway symptoms, resulting in significant harm. Linggan Wuwei Jiangxin Decoction (LGWWJXD) has the effects of warming the lungs, transforming fluid retention, and relieving cough and ast...

Prenatal alcohol exposure and the retrosplenial cortex: Structural and functional mechanisms across species.

The retrosplenial cortex (RSC) is a structurally and functionally complex hub with broad connectivity, integrating sensory inputs, cognitive states, and memory to guide behavior. It supports perspective transformation, predictive modeling, and memory retrieval, making it critical for navigation, executive function, and higher cognition. Animal studies show that the RSC is vulnerable to development...

Ambient Artificial Intelligence Scribe Adoption and Documentation Time in the Emergency Department.

STUDY OBJECTIVES: To describe real-world adoption of an ambient artificial intelligence (AI) scribe in the emergency department (ED) and compare docum...

Ushering in a New Social Media Era in Aesthetic Surgery: AI-Generated Transformation Videos and Their Ethical Implications.

The advent of artificial intelligence (AI)-generated transformation videos, primarily utilizing models like Kling 2.1 (Kuaishou Technology, Beijing, C...

Enhancing Surgeons' Cognitive Performance in Colorectal Surgery: A Narrative Review.

BACKGROUND: Colorectal surgery continues to exhibit variability in outcomes despite advancements in minimally invasive and robotic techniques. Increas...

Fixing Work, Not Workers: Leveraging AI to Combat Burnout in Canadian Healthcare.

Burnout among healthcare workers in Canada remains a critical challenge with implications for workforce retention, patient safety, and system sustaina...

TFAP2A transcriptionally regulates B3GALT2 to affect gouty arthritis progression through pyroptosis: a study based on machine learning and multi-omics integration analysis.

BACKGROUND: Gouty arthritis (GA) is an inflammatory joint disease driven by monosodium urate (MSU) crystal deposition. The NOD-like receptor thermal p...

Neuromorphic photonic computing with an electro-optic analog memory.

In neuromorphic photonic systems, device operations are typically governed by analog signals, necessitating digital-to-analog converters (DAC) and ana...

Graph adiabatic diffusion neural networks for distribution-shift breast tumor image classification.

Breast tumor images show low intra-class similarity and suffer from distribution shift, posing challenges for recognition tasks. While increasing the ...

Learner-Centered Microbiology Teaching via the Flipped Classroom Model: Insights from a Mixed-Methods Educational Study.

CONTEXT: Medical education has evolved to emphasize active learning and technology for competency development. The flipped classroom (FCR) model shift...

Predicting Attrition in a Public Nutrition Education Program: A Machine Learning Approach.

OBJECTIVE: To develop a machine learning model to identify adult Expanded Food and Nutrition Education Program (EFNEP) participants at high risk of at...

Health trade-offs of rural structural transformation: evidence from longitudinal data in Bangladesh.

OBJECTIVES/BACKGROUND: This study examines the relationship between occupational transitions out of agriculture and functional health outcomes among r...

Significance of Automation in Nursing Workflows.

Nurses have expressed a growing interest in artificial intelligence (AI), but automation tools remain underutilized to address key challenges like nur...

Recent advances in wearable biophysical sensors for continuous muscle monitoring.

Continuous muscle monitoring is paramount for revealing the dynamics of neuromuscular behaviors including fatigue kinetics, muscle recruitment, coordi...

Realizing high-performance wood-based piezoresistive sensing through an interfacial bridging approach for wearable functional integration.

Wood-based aerogels have garnered widespread attention in flexible wearable electronics owing to their sustainability, low density, and high porosity....

Beyond CT: Attenuation correction for stand-alone brain PET.

Accurate attenuation correction (AC) is essential for quantitative brain positron emission tomography (PET), but it presents a significant challenge f...

Creation of the Sonntag Virtual Reality Laboratory: A Framework for Innovation in Neurosurgical Training and Global Education.

BACKGROUND AND OBJECTIVES: Neurosurgical education requires innovative approaches to meet the demands of an evolving field and adequately train the ne...

Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age population.

BACKGROUND: Computer aided detection (CADe) colonoscopy has been shown in randomized controlled trials to improve detection of adenomatous colorectal ...

Prediction of First and Multiple Antiretroviral Therapy Interruptions in People Living With HIV: Comparative Survival Analysis Using Cox and Explainable Machine Learning Models.

BACKGROUND: The Cox proportional hazards (CPH) model is a common choice for analyzing time-to-treatment interruptions in patients on antiretroviral th...

Development and validation of machine learning models for predicting operative duration in assisted reproductive technology procedures.

BACKGROUND: Accurate prediction of operative duration is essential for efficient scheduling and resource allocation in surgical settings. In assisted ...