Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Deep learning (DL) is a powerful tool to extract ecological information from large image datasets efficiently and consistently. However, applying these methods remains challenging, due in part to the complexity of DL workflows and the dynamic nature of available tools. To address this, we created a practical guide and review, focused on one of the fundamental tasks in automated image analysis: ima...
Remote sensing (RS) and Artificial intelligence (AI) are increasingly applied to monitor vegetation and hydrology in the Arctic and Antarctic, where logistical and environmental constraints make fieldwork difficult. These technologies offer new opportunities to track ecological change, but the extent, consistency, and methodological quality of current applications have not been systematically revi...
As intelligent manufacturing systems increasingly pursue mass customization and rapid market responsiveness, efficient resource allocation has become ...
Coccidiosis caused by Eimeria spp. is a major constraint to global poultry production, causing economic losses exceeding USD 13 billion annually. Grow...
BACKGROUND: Generally, gastroenterology and digestive endoscopy units commonly face constraints. It may be due to a lack of equipment, poor scheduling...
This study is not intended to establish a predictive framework for reaction yield. Instead, it is framed as a methodological investigation examining t...
The shortage of well-trained personnel to deliver cancer care and conduct research remains a major obstacle to reducing disparities in cancer survival...
AIM: To identify and differentiate workload patterns across shifts and to provide evidence for optimizing nursing workforce allocation in emergency de...
Body condition score (BCS) is key to assessing the health, productivity, and energy balance of dairy cows. However, traditional manual methods are tim...
Composting represents one of the most effective strategies for animal manure utilization, while its yield efficiency and product safety are constraine...
BACKGROUND: Epidural electrical stimulation (EES) has emerged as a promising therapy for restoring motor function in patients with paralysis. A primar...
Health care is entering an era of unprecedented detection. Artificial intelligence (AI)-driven monitors and real-world data streams now identify clini...
BACKGROUND: Cancer remains a leading cause of morbidity worldwide. To reduce this burden, scalable, effective approaches are needed to address modifia...
Skin cancer (SC) is one of the most prevalent forms of cancer worldwide. Both melanoma and non-melanoma types pose major challenges for early detectio...
INTRODUCTION: The rise in administrative burden on physicians is becoming increasingly recognised as a significant contributor to burnout and job diss...
This investigation aimed to clarify the binding mechanisms between six aldehydes and myofibrillar proteins (MPs), with a structural explanation in res...
The integration of multiple modalities in medical imaging allows a thorough representation of structural and functional details, resulting in improved...
Objective.Boron neutron capture therapy (BNCT) is a promising radiotherapy modality that effectively targets cancer cells through boron neutron captur...
Customer churn prediction in E-commerce remains a challenging task due to the lack of labeled data, and the limited ability of traditional machine lea...
Water-saving irrigation is critical for improving water use efficiency and ensuring sustainable food production. However, accurate prediction of farml...