Identifying and Reporting Child abuse

Non-invasive coronary fractional flow reserve prediction using a neural network with hemodynamic and geometric embeddings: A proof-of-concept study.

BACKGROUND AND OBJECTIVES: Invasive fractional flow reserve (FFR) is the clinical gold standard for assessing coronary artery stenosis, but its application is limited by its invasive nature. While CFD-based FFRCT offers a non-invasive alternative, its high computational cost restricts real-time use. Deep learning has emerged as a promising solution. However, many existing methods rely primarily on...

An innovative deep learning paradigm for automated detection and accurate classification of lung nodules in magnetic resonance imaging.

Lung cancer, the predominant kind of cancer, needs considerable care, since inadequate treatment may lead to fatal outcomes. The integration of computer-aided diagnostic (CAD) systems is crucial for the early detection of lung nodules, greatly aiding in the decrease of death rates associated with lung cancer. Magnetic resonance imaging (MRI) is a proficient technique for diagnosing lung cancer. Di...

PRISM: Turning prediction uncertainty into cost-effective management decisions for cadmium-contaminated rice.

Ensuring rice safety in cadmium (Cd) contaminated regions is critically challenged by the disconnect between predictive modeling and risk management. ...

Distinguishing intrinsic and interfacial pyroelectric effects by polarization reversal measurements.

Pyroelectric devices hold promise for thermal energy harvesting and sensing. While previous studies have focused on the intrinsic pyroelectric respons...

The current state of demographic subgroup reporting for commercially available AI for radiology: a scoping review.

OBJECTIVE: Though subgroup performance reporting helps ensure the safety of artificial intelligence (AI) products, the extent of this reporting remain...

A multidimensional strategy for identifying quality markers of Radix ginseng-Schisandra chinensis in the disruption of the inflammation-cancer transformation process of hepatocellular carcinoma based on metabolic regulation and chemical properties.

Comprehensive quality control is essential for ensuring the efficacy and safety of traditional Chinese medicines (TCMs). However, current quality cont...

Rule-guided Skip-GCN in neural latent information diffusion network for social recommendation.

Graph neural networks (GNNs) have significantly advanced social recommendation; however, existing methods often homogenize diverse social influences a...

Geometric Structure-Aware Diffusion Model with Self-Optimization Strategy for Molecular Generation.

With the advancement of artificial intelligence, molecular design based on generative models offers novel approaches to accelerate drug discovery. How...

Utilizing artificial intelligence and geospatial analysis to examine the urban built environment, social vulnerability, and child neglect in Los Angeles.

BACKGROUND: Child neglect, defined as a parent or guardian's failure to provide basic needs such as food, clothing, shelter, or medical care, is a wid...

A collaborative approach to applying Natural Language Processing (NLP) to Domestic Homicide Reviews (DHRs): A study protocol.

Since 2011, there has been a statutory requirement in England and Wales to conduct a Domestic Homicide Review (DHR) into any domestic abuse-related de...

From superficial scholarship to algorithmic slop in analytical chromatography.

Analytical chromatography is a cornerstone of modern science, yet a growing proportion of its literature risks contributing little genuine innovation....

Do predictors of motor recovery differ between robotic and conventional post-stroke rehabilitation?

BACKGROUND: While research on robotic rehabilitation has largely focused on evaluating device effectiveness, there remains a clear need to investigate...

RegVelo: Gene-regulatory-informed dynamics of single cells.

Cell fate transitions are driven by regulatory circuitry, yet RNA velocity models cellular dynamics without explicitly accounting for gene regulatory ...

A Linear Mixed Effects Model for Evaluating Synthetic Gene Circuits.

One significant advancement in synthetic biology is the development of synthetic gene circuits with predictive Boolean logic. However, there is no uni...

Interpretable ensemble meta-learning for estimated ultimate recovery prediction in shale gas wells.

Accurate estimation of the Estimated Ultimate Recovery (EUR) of shale gas wells is essential for development planning and economic evaluation. However...

Augmented Reality and Artificial Intelligence for the Assessment and Rehabilitation of Spatial Neglect: A Systematic Review.

BACKGROUND AND PURPOSE: Augmented reality (AR) and artificial intelligence (AI) have been applied to the assessment and rehabilitation of post-stroke ...

XAI-Exit: Interpretability-Driven Dynamic Early Exits for Efficient and Transparent DNN Inference.

Deep neural networks (DNNs) excel across domains but face challenges in resource-constrained and critical settings due to high computational cost and ...

Critical assessment of theoretical modelling of single-atom catalysts.

The rational design of catalysts from first principles remains a central but still elusive goal of modern quantum chemistry. Although advances in comp...

Oil spill detection on sea surface with dual-polarimetric SAR imagery integrating polarization features and oil-seawater boundary information.

Oil Spill can cause a series of ecological disasters and irreversible damages to marine environment, making the timely detection of oil films on the s...

Spectral-Spatial-Temporal Kolmogorov-Arnold Network for Hyperspectral Change Detection.

Hyperspectral change detection (HCD) aims to recognize altered areas between hyperspectral images (HSIs) captured at different times, which is one of ...