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Cultural Competence

Latest AI and machine learning research in cultural competence for healthcare professionals.

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Showing 295-315 of 3,657 articles
Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study.

BACKGROUND: Digital mental health is a promising paradigm for individualized, patient-driven health ...

Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference.

The human microbiome, the community of microorganisms that reside on and inside the human body, is c...

A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers.

We introduce the Bias Network Approach (BNA) as a sociotechnical method for AI developers to identif...

Policy brief: Improving national vaccination decision-making through data.

Life course immunisation looks at the broad value of vaccination across multiple generations, callin...

Explicitly diverse visual question generation.

Visual question generation involves the generation of meaningful questions about an image. Although ...

Ethical and Bias Considerations in Artificial Intelligence/Machine Learning.

As artificial intelligence (AI) gains prominence in pathology and medicine, the ethical implications...

Large Language Models Applied to Health Care Tasks May Improve Clinical Efficiency, Value of Care Rendered, Research, and Medical Education.

Large language models (LLMs) are generative artificial intelligence models that create content on th...

Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery.

It stands to reason that the amount and the quality of data are of key importance for setting up acc...

Improving WRF-Chem PM predictions by combining data assimilation and deep-learning-based bias correction.

In numerical model simulations, data assimilation (DA) on the initial conditions and bias correction...

Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran.

This study aimed to integrate game theory and deep learning algorithms with the InVEST Ecosystem Ser...

Exploiting passive behaviours for diverse musical playing using the parametric hand.

Creativity and style in music playing originates from constraints and imperfect interactions between...

Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic data.

BACKGROUND: Understanding the mechanisms of algorithmic bias is highly challenging due to the comple...

Accelerating the pace of innovation in robotics by fostering diversity and inclusive leadership.

Diverse and inclusive teams are not merely a moral imperative but also a catalyst for scientific exc...

AI in Biomedicine-A Forward-Looking Perspective on Health Equity.

As new artificial intelligence (AI) tools are being developed and as AI continues to revolutionize h...

A multi-memory-augmented network with a curvy metric method for video anomaly detection.

Anomaly detection task in video mainly refers to identifying anomalous events that do not conform to...

Automated segmentation of dental restorations using deep learning: exploring data augmentation techniques.

OBJECTIVES: Deep learning has revolutionized image analysis for dentistry. Automated segmentation of...

Domain generalization for mammographic image analysis with contrastive learning.

The deep learning technique has been shown to be effectively addressed several image analysis tasks ...

Integrating microbial profiling and machine learning for inference of drowning sites: a forensic investigation in the Northwest River.

Drowning incidents present significant challenges for forensic investigators in determining the exac...

Semi-supervised medical image segmentation network based on mutual learning.

BACKGROUND: Semi-supervised learning provides an effective means to address the challenge of insuffi...

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