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Cultural Competence

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

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Showing 988-1008 of 3,213 articles
Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation

Culture is a rich and dynamic domain that evolves across both geography and time. However, existin...

Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity

Recently, Generative Adversarial Networks (GANs) have been successfully scaled to billion-scale la...

DeepSeek in Healthcare: A Survey of Capabilities, Risks, and Clinical Applications of Open-Source Large Language Models

DeepSeek-R1 is a cutting-edge open-source large language model (LLM) developed by DeepSeek, showca...

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Current AIGC detectors often achieve near-perfect accuracy on images produced by the same generato...

UrduSER: A comprehensive dataset for speech emotion recognition in Urdu language.

Speech Emotion Recognition (SER) is a rapidly evolving field of research that aims to identify and c...

Jun 2025 40496743
Addressing Workforce and Ethical Gaps in AI-Driven Mental Health Care: A Response to Higgins and Wilson.

Artificial intelligence (AI)-based clinical decision support systems (CDSS) hold great promise for m...

Jun 2025 40444840
Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe pat...

Jun 2025 40457512
Evaluating algorithmic bias on biomarker classification of breast cancer pathology reports.

OBJECTIVES: This work evaluated algorithmic bias in biomarkers classification using electronic patho...

Jun 2025 40351508
A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models

Chain-of-thought (CoT) reasoning enhances performance of large language models, but questions rema...

Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates

While pre-trained multimodal representations (e.g., CLIP) have shown impressive capabilities, they...

VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models

While bias in large language models (LLMs) is well-studied, similar concerns in vision-language mo...

Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory

Modern vision-language models (VLMs) often fail at cultural competency evaluations and benchmarks....

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models

Recent advances in diffusion models have led to impressive image generation capabilities, but alig...

Responsible Data Stewardship: Generative AI and the Digital Waste Problem

As generative AI systems become widely adopted, they enable unprecedented creation levels of synth...

R1-Code-Interpreter: Training LLMs to Reason with Code via Supervised and Reinforcement Learning

Despite advances in reasoning and planning of R1-like models, Large Language Models (LLMs) still s...

Interpreting Social Bias in LVLMs via Information Flow Analysis and Multi-Round Dialogue Evaluation

Large Vision Language Models (LVLMs) have achieved remarkable progress in multimodal tasks, yet th...

Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance

Classifier-Free Guidance (CFG) is a widely used technique for improving conditional diffusion mode...

Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions

Recent advances in generative AI have enabled visual content creation through text-to-image (T2I) ...

Enhancing Transformation from Natural Language to Signal Temporal Logic Using LLMs with Diverse External Knowledge

Temporal Logic (TL), especially Signal Temporal Logic (STL), enables precise formal specification,...

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