Staffing & Scheduling

Approaches in analyzing predictors of trial failure: a scoping review and meta-epidemiological study.

BACKGROUND: Although there are numerous studies exploring predictors of clinical trial failure, no c...

A multi-agent reinforcement learning scheduling algorithm integrating state graph and task graph structural modeling for ride-sharing dispatching.

AminoacidDB: a liquid chromatography-tandem mass spectrometry-based toolkit for the untargeted analysis of non-protein amino acids.

Non-protein amino acids (npAAs) are produced by microbes, plants and humans, with previous estimates...

Integrating random forest-based regression kriging for analyzing spatial variability of rainfall in arid and semi-arid regions.

Understanding the spatial variability of precipitation is essential for water resource management an...

Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review.

BACKGROUND: Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that ca...

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg.

Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. Str...

Network reorganisation reveals somato-motor transition from segregation to integration during tonic pain.

The sustained nature of tonic pain makes it a useful experimental analogue for studying the prolonge...

Construction of a classification system for long-term care service needs among the elderly based on cluster analysis and machine learning: A multi-center, cross-sectional study in central China.

BACKGROUND: Rapid global aging has led to an increasing demand for long-term care services for the e...

Shape matters: Predicting Huntington's disease using progression modelling.

BACKGROUND: Despite evidence of group-level differences in striatal morphometry among persons with H...

Caries Microbiome: time to move from blame to balance.

BACKGROUND: Advances in next-generation sequencing(NGS) and multi-omics approaches reinforced the co...

Active guidance in ultrasound bladder scanning using reinforcement learning.

Accurate measurement of bladder volume is essential for diagnosing urinary retention and voiding dys...

Intelligent navigation of potential energy surfaces: leveraging deep reinforcement learning paradigms for accelerated discovery of stable nickel nanoclusters.

The functional properties of nanoclusters are dictated by their atomic-scale structures; however, th...

Moving intentions from brains to machines.

Brain-computer interface (BCI) research has achieved remarkable technical progress but remains limit...

Artificial Intelligence in Snoring Sound Analysis: OSA Detection and Obstruction Site Classification, a Systematic Review.

OBJECTIVE: The aim of the systematic review is to evaluate the application of machine learning (ML) ...

Preliminary insights into artificial intelligence guided dosing in hypertension and diabetes: challenges and lessons learnt in a pilot feasibility study.

OBJECTIVE: CURATE.AI is an artificial intelligence platform enabling personalised drug dosing. Aims:...

Curriculum-guided divergence scheduling improves single-cell clustering robustness.

Deep clustering of single-cell RNA-seq data faces significant challenges due to extreme sparsity and...

Lifelong person re-identification via dynamically knowledge adaptation and retention.

Person re-identification aims to match the same individual across non-overlapping camera views. In r...

Machine-Learning-Assisted Composition Design of High-Entropy CaBi4Ti4O15-Based Piezoceramics with Ultrahigh Piezoelectricity.

High-entropy strategy presents a promising approach for enhancing the piezoelectric properties of bi...

Workflow-embedded AI as a cognitive scaffold: A randomized trial on knowledge retention and diagnostic competency in undergraduate radiology education.

BACKGROUND: Traditional didactic methods in medical imaging education, predominantly reliant on stat...

Effects of a transformer-based AI-based application to support incontinence-associated dermatitis and pressure injury assessment, nursing care and documentation: Controlled pilot intervention study.

BACKGROUND: Artificial intelligence (AI) is playing an increasingly important role in nursing care, ...

Acceleration of chemical shift encoding-based water-fat imaging for pancreatic proton density fat fraction mapping in a single breath-hold: Data from the LION study.

PURPOSE: With the rising prevalence of obesity and metabolic syndrome, there is an increasing need f...