Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Infrared Small Target Detection (ISTD) is crucial for applications such as traffic monitoring and maritime surveillance. However, it remains highly challenging due to weak target signals and the absence of rich texture information, often resulting in low detection accuracy. Existing deep learning-based ISTD methods typically struggle to balance the trade-off between modeling long-range dependencie...
Periodontitis necessitates targeted therapy due to its high prevalence, progressive tissue destruction, and systemic disease links. Conventional mechanical debridement and pharmacological treatments are limited by complex periodontal barriers, including viscous crevicular fluid and resilient biofilms, which impede bacterial eradication and drug delivery. Here, we engineered magnetically actuated m...
INTRODUCTION: Visual abstracts (VAs) have emerged as an efficient tool to disseminate scientific research, offering faster processing and improved inf...
Activated sludge systems treating municipal wastewater frequently experience performance dysfunction, yet conventional diagnostics rely on isolated pa...
PRIMARY OBJECTIVE: To differentiate Unresponsive Wakefulness Syndrome (UWS) from Minimally Conscious State (MCS) using EEG microstates. RESEARCH DESIG...
BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...
Nuclear medicine (NM) educators face a pivotal time of rapid scientific innovation and expansion of theranostic possibilities, rising volumes, staffin...
Phase redistribution of organic contaminants in low-permeability soils strongly influences their persistence, mobility, and remediation, its dependenc...
Understanding how animals adjust their space use in changing environments is important for conservation, especially for species restricted to fragment...
AIMS: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by poor prognosis, extensive perineural invasion (PNI), ...
INTRODUCTION: Nanoparticle-based drug delivery has emerged as a transformative approach in modern therapeutics, offering improved targeting efficiency...
Intron retention (IR) is the molecular phenomenon by which introns, historically thought to represent non-coding 'junk', remain unspliced within pre-m...
The textile wastewater containing refractory and tenacious synthetic dyes poses a greater threat and hazardous impact on both terrestrial animals and ...
Autonomous medical image segmentation enables critical applications, including urinary retention monitoring, prenatal fetal biometry, neuromodulation,...
OBJECTIVES: This multicentre real-world evaluation, commissioned by NHS England, evaluated the impact of AI-assisted contouring of organs at risk on c...
AIM: To provide an early-stage integrative synthesis of shared and scenario-specific ethical risks of Conversational Artificial Intelligence in nursin...
OBJECTIVES: Although deep learning for periodontitis diagnosis on panoramic radiographs has advanced rapidly, most studies use single-vendor data and ...
BACKGROUND: Resident scheduling is a high-dimensional optimization problem with implications for workload, fatigue risk, and equity. Real-world evalua...
Intrathecal delivery for central nervous system (CNS) therapy lacks spatiotemporal control due to spinal canal anatomical constraints, especially at h...
PURPOSE: Appropriate pain assessment of adults is critical for effective pain management. Technology-driven tools can contribute to improved pain asse...