Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
OBJECTIVES: The COVID-19 pandemic has highlighted the growing reliance on machine learning (ML) mode...
Atractylodis Macrocephalae Rhizoma (AMR) is classified as a medicinal and edible homologous food in ...
The increasing emerging contaminants (ECs) pose significant challenges to non-targeted screening (NT...
Vast power grid infrastructure generates enormous volumes of inspection data from smart meters, unma...
Tissue expansion, originally developed for super-resolution imaging, has become a foundation for exp...
PURPOSE: Transthyretin cardiac amyloidosis (ATTR-CM) is a progressive, underdiagnosed disease with h...
The Flexible Job Shop Scheduling Problem (FJSP) is an Non-deterministic Polynomial (NP)-hard combina...
BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to gr...
Human and veterinary healthcare systems face many parallel challenges, yet opportunities for cross-s...
Conventional representation learning methods have achieved remarkable performance in traffic flow fo...
The integration of artificial intelligence (AI) and machine learning (ML) into medical devices has r...
BACKGROUND: Implementing Mohs case complexity grading systems is critical due to inherent complexiti...
Self-attention is the cornerstone of transformers, yet its quadratic time and space complexity with ...
The advent of generative artificial intelligence (GenAI) is already impacting pedagogical strategies...
The bone unit (BU) is a multicellular functional unit composed of neuromodulatory networks, bone tis...
BACKGROUND: Cerebral palsy (CP), a leading cause of childhood motor disability, severely impacts low...
PURPOSE: To compare the performance of a vision transformer-based foundation model (RETFound) and a ...
OBJECTIVE: The aim of this study was to investigate the diagnostic performance of the 2.5-dimensiona...
This comprehensive review focuses on the use of knowledge graphs and Graph Neural Networks (GNNs) to...
Active learning fosters critical thinking, autonomy, and deep learning. Whereas team-based learning ...
BACKGROUND: Intensive Care Unit (ICU) nursing is demanding, requiring advanced clinical decision-mak...