Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Anatomy is a demanding subject due to the complex nature of anatomical structures and intricate terminology, placing high cognitive demands on students. These challenges can lead to cognitive overload, hindering retention, comprehension, and the ability to integrate anatomical knowledge into clinical practice. Cognitive Load Theory (CLT) provides a structured framework to optimize instructional st...
BACKGROUND AND OBJECTIVE: Nurses are essential for safeguarding public health, and their physical condition directly affects care quality and patient safety. Work-related musculoskeletal disorders (WMSDs) are highly prevalent in this workforce and may be amplified by circadian disruption. We therefore integrated individual and environmental risk factors, with special attention to night-shift chara...
Cotton production is highly vulnerable to foliar diseases and pest-induced damage, which significantly reduce yield and compromise fiber quality. Rapi...
BACKGROUND AND INTRODUCTION: Workplace bullying and incivility have continued to escalate across health care and pose serious risks to workforce well-...
Protein phosphorylation is a key regulator of signaling, with mass spectrometry (MS) based phosphoproteomics serving as the premier technology for its...
The post-intervention effects of non-invasive neuromodulation techniques are critical for their translational potential in neurorehabilitation and dep...
BACKGROUND: Effective postoperative communication is vital for patient recovery, yet traditional text-based discharge instructions often lead to poor ...
Plant leaf disease detection is a critical task in precision agriculture, where reliable diagnosis under real-world conditions is essential for reduci...
BACKGROUND: Artificial Intelligence (AI) is increasingly proposed to enhance population-based cancer screening. While several applications are under e...
PURPOSE: While prior studies have explored artificial intelligence (AI) adoption in various sectors, the specific impact on employee performance in he...
The rising demand for high-performance, energy-efficient neuromorphic systems has driven the exploration of chalcogenide materials with tunable electr...
BACKGROUND: Acute infectious symptoms are a leading cause of pediatric emergency department visits in Canada, many of which are low acuity and could b...
BACKGROUND: Virtual nursing and remote safety observation have emerged as critical nurse-led workforce innovations, yet standardized evidence on staff...
The Internet of Things (IoT) is transforming the healthcare industry by enabling real-time patient monitoring, predictive analytics and smart decision...
Virtual simulation (VS) is pivotal in undergraduate dental education for cognitive and preclinical training. Expanding VS adoption and artificial inte...
BACKGROUND: Artificial Intelligence (AI) methods have emerged as useful tools for supporting patient recruitment in clinical trials (CTs). Despite sev...
AIMS: Ankle fractures are a prevalent orthopedic injury with X-rays being the primary diagnostic tool. Errors in radiological interpretation leads to ...
Full-spectrum artificial sunlight drying (FSASLD) was investigated as an innovative drying technology for turmeric dehydration, focusing on drying cha...
BACKGROUND: A significant challenge in blood donation is the occurrence of adverse donor reactions (ADRs) and their subsequent negative impact on the ...
Accurate prediction of fire consequences is fundamental to process safety management and quantitative risk assessment in the chemical process industri...