Cultural Competence

Learning in an era of uncertainty in Singapore: diversity, lifelong learning, inspiration and paradigm shift.

This is an era of uncertainty, during which adaptability is a key capability to survival and future ...

Research Participant Selection Bias in the Workshop Using Socially Assistive Robots for Older Adults and Its Effect on Population Representativeness.

Every research participant has their own personality characteristics. For example, older adults assi...

Why the power of diversity does not always produce better groups and societies.

Diversity is supposed to create better groups and societies but sometimes fails. It is explained why...

A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.

Micro-computed tomography (µCT)-based imaging plays a key role in monitoring disease progression and...

2D medical image synthesis using transformer-based denoising diffusion probabilistic model.

. Artificial intelligence (AI) methods have gained popularity in medical imaging research. The size ...

High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.

Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assess...

Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance.

Background Automation bias (the propensity for humans to favor suggestions from automated decision-m...

Automation Bias in Breast AI.

Survey and Evaluation of Hypertension Machine Learning Research.

Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...

Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective.

Artificial intelligence (AI) and other data-driven technologies hold great promise to transform heal...

Artificial Intelligence Technologies in College English Translation Teaching.

This paper explores the practical prospects for using artificial intelligence technologies in profes...

Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka.

Hydrologic models to simulate river flows are computationally costly. In addition to the precipitati...

Portable deep-learning decoder for motor imaginary EEG signals based on a novel compact convolutional neural network incorporating spatial-attention mechanism.

Due to high computational requirements, deep-learning decoders for motor imaginary (MI) electroencep...

Diagnostic accuracy of a deep learning model using YOLOv5 for detecting developmental dysplasia of the hip on radiography images.

Developmental dysplasia of the hip (DDH) is a cluster of hip development disorders and one of the mo...

Automatic sleep staging for the young and the old - Evaluating age bias in deep learning.

BACKGROUND: Various deep-learning systems have been proposed for automated sleep staging. Still, the...

Open Data and transparency in artificial intelligence and machine learning: A new era of research.

Artificial Intelligence (AI) and machine learning are the current forefront of computer science and ...

Australian perspectives on artificial intelligence in veterinary practice.

While artificial intelligence (AI) and recent developments in deep learning (DL) have sparked intere...

How cultural framing can bias our beliefs about robots and artificial intelligence.

Clark and Fischer argue that humans treat social artifacts as depictions. In contrast, theories of d...

Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB).

Manual screening of Ziehl-Neelsen (ZN)-stained slides that are negative or contain rare acid-fast my...

Cue: a deep-learning framework for structural variant discovery and genotyping.

Structural variants (SVs) are a major driver of genetic diversity and disease in the human genome an...

G2GT: Retrosynthesis Prediction with Graph-to-Graph Attention Neural Network and Self-Training.

Retrosynthesis prediction, the task of identifying reactant molecules that can be used to synthesize...