Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Early ambulation following cardiovascular and thoracic surgery (CVTS) is associated with improved postoperative outcomes. However, barriers such as patient debility, high acuity, hemodynamic instability, cardiopulmonary complications, or resource limitations (e.g., intensive care unit setting, specialized equipment, or staff training) often prevent or delay early ambulation. Overground robotic exo...
Targeted drug delivery in the gastrointestinal tract remains challenging because therapeutics must overcome multiple hierarchical barriers before reaching diseased tissue. Here, we present a multistage delivery platform that integrates magnetic microrobots, a pH-responsive protective coating, and platelet membrane-coated nanoparticles (PNPs) in one platform. A fillable design enables the formation...
Artificial intelligence (AI) is increasingly implemented in medical education, adding new opportunities to improve learning in complex subjects like a...
INTRODUCTION: Psoriatic arthritis is a chronic inflammatory disease that can affect the axial skeleton as well as the joints and enthesis. Following t...
High-entropy materials (HEMs) have emerged as promising electrocatalyst platforms because compositional diversity enables tunable electronic structure...
Sensor-based human activity recognition (HAR) plays a critical role in pervasive health monitoring, smart home, and sports tracking. While deep learni...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...
BACKGROUND: Chatbots have recently emerged as an alternative approach for delivering cancer risk assessment and genetic counseling. Understanding the ...
As artificial intelligence (AI) becomes embedded in organizational work systems, employees' psychological responses increasingly shape how AI is exper...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory and metabolic programs, which affect tumor progressi...
Deficiencies in existing research on hot work risk assessment were identified, as work number and time factors were not considered. A risk assessment ...
OBJECTIVES: To develop a generalizable framework for identifying algorithmic discrimination risks arising from subgroup imbalances in machine learning...
BACKGROUND: Surgical residency training faces mounting pressure from expanding subspecialty knowledge requirements alongside compressed learning oppor...
BACKGROUND: Allied Health Professional (AHP) services in England assess, diagnose, treat and rehabilitate patients across a wide range of health and c...
The deployment of deep learning-based visual communication systems in cultural creative scenarios demands both high perceptual quality and real-time r...
The perithyroidal adipose tissue (PAT), given its direct anatomical proximity to the thyroid gland, has long been postulated as a modulator of the thy...
Raman spectroscopy is emerging as a label-free tool for gastric cancer diagnosis by capturing molecular fingerprints of malignant transformation. Howe...
OBJECTIVE: The integration of Digital Health Technologies (DHTs) in clinical trials enhances patient recruitment, streamlines data collection, and pro...
As industries encounter the twin challenges of digital transformation and environmental sustainability, AI-driven talent management has emerged as a s...
Accurate global solar radiation (GSR) forecasting is vital for smart grids and resilient energy systems. However, the nonlinear and non-stationary nat...