Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reality (XR) and artificial intelligence (AI) applications remain heterogeneous. To map the educational applications, learner populations, outcome measures, and research gaps related to the use of XR and emerging AI tools in orthopedic surgical training. ...
Nitrogen loss during aerobic composting remains a critical barrier that hinders high-efficiency compost and less greenhouse gas emissions. This review systematically summarizes recent advances in nitrogen conservation strategies with an emphasis on microbial regulation, material-based optimization, and process regulation. Microbial inoculants such as Bacillus, Pseudomonas, and Azotobacter can resh...
Liquid crystal elastomers (LCEs) combine mesogenic orientational order with rubber elasticity, enabling large, reversible actuation for applications i...
INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, making it more difficult for students to integrate...
OBJECTIVES: To evaluate three-dimensional anterior tooth position changes during orthodontic retention and to compare the effectiveness of three disti...
Laparoscopic cholecystectomy is a high-volume procedure with relatively short operative times, leaving limited margin for further reduction in mean du...
Intervertebral disc degeneration (IVDD) is increasingly recognized as a systemic collapse of the epigenetic regulatory network, driven by cellular sen...
BACKGROUND: Human Anatomy and Histology & Embryology are foundational courses in nursing education but are often challenging for students due to their...
The reactivity of hydrogen bond networks (HBNs) is critical to many chemical and biological scenarios. When the HBNs are under constraint, hydrogen bo...
BACKGROUND: Pediatric lymphoma patients undergo multiple 18F-FDG PET/CT examinations for staging and response assessment, raising concerns about cumul...
Understanding the carbon footprint is crucial for sustainable AI development. This work presents a framework called "carbon aware optimistic machine l...
Clinical guidelines are widely used in the medical practice. Temporal constraints-such as durations, intervals, and delays-are an intrinsic component ...
Cancer registry data is an important resource in cancer research, e.g. to formulate hypotheses for new interventions, to identify recruitment potentia...
In this paper, we investigate how distribution shift affects model generalizability in medical time-series from intensive care. We define clinically r...
Defining formal and structured eligibility criteria for digital recruitment assistant systems can be a challenging interdisciplinary task requiring co...
Japan's national initiative for scientific infrastructure emphasizes equitable healthcare delivery in depopulated regions facing rapid aging and physi...
Digital health approaches that leverage consumer wearables and machine learning offer scalable means to detect acute illness pre-symptomatically, enab...
AIM: This study aimed to evaluate the preliminary effectiveness of a ChatGPT-integrated educational session on nursing students' knowledge acquisition...
BACKGROUND: Early identification of individuals at risk of dementia is essential for preventive care and timely enrolment into disease-modifying inter...
BACKGROUND: Artificial intelligence (AI) and clinical informatics (CI) are strategic priorities for UK ophthalmology, with the Royal College of Ophtha...