Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
BACKGROUND: Research funding is a crucial driver of healthcare innovation and improved patient outcomes. However, the peer-review process utilised during funding allocation is often subjective, inconsistent, and prone to reviewer biases, leading to inefficiencies in selecting high-impact projects. This study aimed to develop an objective, transparent, and structured scoring system to improve resea...
BACKGROUND: Large language models (LLMs) are increasingly used in health care by nonprofessionals (ie, individuals without formal training in health-related professions). These applications must be evaluated in an appropriate manner to prevent misinformation and harmful decisions. To date, guidance to evaluate LLM-based applications for nonprofessional users remains limited and fragmented, leaving...
Artificial intelligence (AI) predictive models demonstrate potential for transforming clinical decision-making across medicine. However, conventional ...
BACKGROUND: Respiratory motion artifacts degrade PET/computed tomography (PET/CT) image quality. Data-driven gated (DDG) PET/CT addresses this issue b...
Machine learning exhibits significant potential in the research of micro‑nano materials, particularly in accelerating material design and performance ...
The integration of artificial intelligence (AI) into athletic training is accelerating, yet its psychological implications for athletes remain insuffi...
This study systematically investigates the robustness of radiomics-based machine learning models to distribution shifts caused by variations in MRI ac...
BACKGROUND: Real-world glucagon-like peptide-1 receptor agonist (GLP-1 RA) therapies face substantial attrition rates in commercial digital weight los...
Retention of highly qualified physicians remains a critical priority in rheumatology and the broader medical field due to persistent physician shortag...
Bioactive peptides generated from meat proteins, fermented meat products, and slaughter by-products have attracted increasing attention as functional ...
The integration of optical sensing with neuromorphic computing offers a promising pathway to overcome the von Neumann bottleneck in data-intensive art...
The increasing penetration of distributed energy resources (DERs) necessitates intelligent coordination strategies that simultaneously enhance the tec...
The isomerization of light naphtha (C5-C6) alkanes offers a promising route to boost gasoline octane ratings without increasing aromatic content, whic...
Lateral flow immunoassays (LFAs) dominate point-of-care diagnostics, however, their single-pass capillary architecture imposes four fundamental perfor...
Diabetic foot ulcers are a major complication of diabetes characterized by persistent inflammation and impaired tissue repair, in part driven by aberr...
Full-body motion capture is vital for next-generation wearables in virtual reality, the metaverse, and healthcare. However, current systems struggle t...
BACKGROUND: Young adults aged 18 to 25 years in rural communities face barriers to sexual and reproductive health (SRH) information, including clinici...
French innovation has profoundly shaped the evolution of spinal surgery over the past fifty years. While many French contributions are now internation...
Bioactive glasses (BGs) are reactive biomaterials whose biological effects arise from dissolution: ion exchange, pH evolution, surface-layer formation...
INTRODUCTION: Anterior cruciate ligament (ACL) deficiency is traditionally viewed as a relatively homogeneous condition in which rotational instabilit...