Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Scaling of sparingly soluble salts remains a major barrier to deploying membrane distillation (MD) in sustainable water treatment. This work introduces an artificial intelligence (AI)-driven computational framework for designing scale-resistant feed spacers based on gyroid triply periodic minimal surfaces (TPMS) in direct-contact membrane distillation (DCMD). The framework bridges computational fl...
The quick expansions of e-commerce have increased competition, made client retention and repurchased predictions vital for sustainable corporate success. Traditional Deep Learning (DL) algorithms frequently fall short of collecting complex behavioral patterns and optimizing marketing campaigns. Research provides a unique framework that mixes DL and Genetic Algorithms (GA) to predict purchasing pat...
BACKGROUND: Operating room (OR) inefficiency persists despite decades of process improvement, largely due to stochastic case durations, emergency disr...
A revolutionary method for targeted neurotherapeutics is focused ultrasound (FUS)-mediated blood-brain barrier (BBB) regulation. In order to enable co...
Drug-resistant epilepsy (DRE) is a complex neurological disease that accounts for 30%-40% of all epilepsy cases. Its pathogenesis and treatment have a...
IMPORTANCE: Retinopathy of prematurity (ROP) screening requires frequent examinations to avoid missed treatment-requiring disease, but this approach i...
This study explores the effectiveness of integrating multimodal instruction with artificial intelligence (AI)-generated visual content into English no...
BACKGROUND: Operating rooms (ORs) are highly resource-intensive, yet surgical case duration is often estimated using heuristics that are prone to erro...
Understanding how planting density regulates water-use strategies is crucial for sustainable afforestation in arid regions. In the Kubuqi Desert, stab...
Herbs have long been integral to various health and medicinal benefits. Identifying the correct herb species from thousands of diverse options is a la...
The Go/No-Go task is one of the most commonly used paradigms in psychological research, yet traditional studies rely on single event-related potential...
Coastal wetlands, as one of the three major ecosystems on Earth, play a critical role in maintaining biodiversity and ecological balance. In recent ye...
Healthcare leaders face sustained uncertainty: workforce volatility, financial pressure, and accelerating technology change. In 2024-2025, Ardent Heal...
RATIONALE AND OBJECTIVES: Traditional radiology management models may face challenges in meeting the growing demand for medical imaging services, pote...
OBJECTIVE: Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly compris...
BACKGROUND: Rapidly and accurately synthesizing large volumes of evidence is a time- and resource-intensive process. Once published, reviews often ris...
The rapid expansion of edge-cloud computing infrastructures has intensified both cybersecurity demands and the associated energy consumption and carbo...
The current study outlines an integrated experimental and data-driven methodology of the development of sustainable high-performance concrete, using a...
BACKGROUND AND PURPOSE: With the exponential growth in the volume of competitive sports research, traditional bibliometric methods based on keyword co...
This study aimed to compare four commonly used machine learning techniques, Support Vector Machine (SVM), XGBoost, Long Short-Term Memory (LSTM), and ...