Latest AI and machine learning research in work force for healthcare professionals.
Real-world clinical practice is inherently multimodal, relying on the synthesis of patient history w...
Neural ensembles, comprising multiple heterogeneous neural networks, show promise in machine learnin...
Despite rapid advances in artificial intelligence (AI) capabilities, clinical integration remains li...
Psychological support hotlines provide immediate help to individuals in crisis, with operators asses...
BACKGROUND: The global shortage of psychiatrists limits learners' exposure to authentic patient enco...
In industries like chemical processing, energy systems, metallurgy, filtration, and electronics cool...
The organ- and stage-specific diversity of megakaryocytes (MKs) has prompted a reassessment of their...
Offside calls are integral to maintaining fairness and competitive integrity in football, yet curren...
Pediatric visual health is not only inextricably linked to an individual's lifelong cognitive develo...
The shortage of healthcare professionals increasingly challenges the provision of care for instituti...
Shallow ensembles provide a convenient strategy for uncertainty quantification in machine-learning i...
Accurate and actionable pallet demand forecasting is essential for multi-echelon warehouse supply ch...
BACKGROUND: Operating room nurses (ORNs) are at high risk for compassion fatigue (CF), which signifi...
BACKGROUND: The expansion of telehealth services, particularly during the COVID-19 pandemic, has tra...
A global shortage of radiologists has increased the burden of chest X-ray interpretation, particular...
Stroke is one of the leading causes of disability worldwide with a disproportionately high burden in...
Health information technology tools, including electronic health records, are ubiquitous in healthca...
BACKGROUND: The application of artificial intelligence (AI) is increasingly valuable as a tool and a...
Children's bones are more elastic and have a thicker periosteum than those of adults, resulting in s...
The International Forum of Internal Medicine (FIMI) presents a position paper that analyzes the curr...
Deep learning mitigates data sparsity and cold-start issues in recommender systems through automatic...