Latest AI and machine learning research in work force for healthcare professionals.
Neural ensembles, comprising multiple heterogeneous neural networks, show promise in machine learning tasks. Their efficacy depends on architecture design, traditionally relying on deep learning expertise. Neural ensemble architecture search methods aim to automate this process, but face challenges in balancing diversity, performance, and computational efficiency. This study introduces DENE, a dif...
Despite rapid advances in artificial intelligence (AI) capabilities, clinical integration remains limited, partly due to an incomplete understanding of physicians' real-world engagement and determinants of adoption. We conducted an international cross-sectional survey between June and September 2024 using a 30-item questionnaire translated into 13 languages, analysing 1049 complete responses from ...
Psychological support hotlines provide immediate help to individuals in crisis, with operators assessing emotional states and suicide risk. However, i...
BACKGROUND: The global shortage of psychiatrists limits learners' exposure to authentic patient encounters. Simulation can support scalable deliberate...
In industries like chemical processing, energy systems, metallurgy, filtration, and electronics cooling, activation energy in magneto-nanofluid flow w...
The organ- and stage-specific diversity of megakaryocytes (MKs) has prompted a reassessment of their distribution and functions. By integrating single...
Loss-of-function mutations in the autism-associated CHD8 gene are highly penetrant for trait and behavioral abnormalities in children, but there is su...
Offside calls are integral to maintaining fairness and competitive integrity in football, yet current officiating processes are constrained by limitat...
Pediatric visual health is not only inextricably linked to an individual's lifelong cognitive development and quality of life, but also constitutes a ...
The shortage of healthcare professionals increasingly challenges the provision of care for institutionalised older adults. This study investigates hea...
Shallow ensembles provide a convenient strategy for uncertainty quantification in machine-learning interatomic potentials, which is computationally ef...
Accurate and actionable pallet demand forecasting is essential for multi-echelon warehouse supply chains, particularly when facing complex inter-node ...
BACKGROUND: Operating room nurses (ORNs) are at high risk for compassion fatigue (CF), which significantly impairs individuals' well-being, undermines...
BACKGROUND: The expansion of telehealth services, particularly during the COVID-19 pandemic, has transformed health care delivery in the United States...
A global shortage of radiologists has increased the burden of chest X-ray interpretation, particularly in primary and resource-limited settings. Altho...
BACKGROUND: Celiac disease affects ~1-2% of people and remains incurable, requiring lifelong dietary restriction. The gut microbiome is thought to con...
Stroke is one of the leading causes of disability worldwide with a disproportionately high burden in low and middle-income countries. In such countrie...
Health information technology tools, including electronic health records, are ubiquitous in healthcare across the United States. Despite the promise a...
BACKGROUND: The application of artificial intelligence (AI) is increasingly valuable as a tool and assistant in many areas of clinical and academic me...
Children's bones are more elastic and have a thicker periosteum than those of adults, resulting in subtle, incomplete fractures. Diagnosis based on pl...