Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
In table tennis training, pose-based motion analysis is of great significance for technical evaluation and training feedback. With the development of Artificial Intelligence (AI), pose estimation provides a new technical approach for real-time and refined motion analysis. This study proposes a Lightweight Attention-enhanced Fusion Pose Estimation Network (LAFPose), which is improved based on YOLOv...
OBJECTIVE: Microorganisms play an irreplaceable role in critical physiological processes such as human metabolic regulation, cancer inhibition, and pathogen antagonism, yet traditional culture-based microbial experiments are expensive and time-consuming. Consequently, there is an urgent need to develop efficient computational prediction models to prioritize disease-related microbes, aiming to disc...
PURPOSE: Chest X-rays (CXRs) are essential in trauma care but have limited sensitivity for rib fracture detection, leading to frequent missed diagnose...
BACKGROUND: The rapid acceleration of large language models (LLMs) creates opportunities to expand the accessibility of mental health support; however...
Electric vehicle (EV) charging station load prediction is crucial for ensuring the stable operation of power grids and optimizing charging infrastruct...
This paper introduces a conceptual framework designed to embed equity, diversity, and inclusion (EDI) across all stages of the clinical trial lifecycl...
Transmission lines are vital components of electrical grids, ensuring the efficient transfer of electricity from power plants to consumers over extens...
BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer interface (BCI)-controlled ankle robot show rehabilita...
Healthcare systems exchange more data than ever, yet gaps in care persist: missed referrals, unsafe polypharmacy, and loss of continuity. This paper a...
Mobile health (mHealth) applications and AI-enabled health applications are expanding rapidly, yet their evaluation remains fragmented and inconsisten...
BACKGROUND: Psychological distress, particularly symptoms of depression and anxiety (D&A), is highly prevalent among family caregivers of individuals ...
Employee attrition poses significant challenges to organizations, impacting productivity, morale, and financial stability. Predicting attrition and un...
The healthcare sector is rapidly evolving with the integration of Artificial Intelligence (AI). As AI technologies shift from rule-based expert system...
Timely identification of patients who meet clinical trial eligibility criteria is a persistent bottleneck in trial recruitment because the criteria ar...
Proliferating cell nuclear antigen (PCNA) protein is an emerging therapeutic target for several diseases including cancers, and certain viral infectio...
BACKGROUND: Lately, big data studies have shown promise in using patient characteristics to rank the likelihood of retention of antiseizure medication...
The explosive growth of computational data poses significant challenges to conventional von Neumann architectures and network processing capabilities....
Existing unsupervised anomaly detection methods for multivariate time series(MTS) have demonstrated advanced performance on numerous public datasets. ...
In the era of Industry 5.0 and artificial intelligence, with the continuous development of online EDI orders, manufacturing enterprises adopting a com...
Cross-linking mass spectrometry (XL-MS) technology plays an important role in protein structure and protein-protein interaction (PPI) studies. However...