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Cultural Competence

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

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Showing 883-903 of 3,213 articles
Order Is Not Layout: Order-to-Space Bias in Image Generation

We study a systematic bias in modern image generation models: the mention order of entities in text ...

When Visual Evidence is Ambiguous: Pareidolia as a Diagnostic Probe for Vision Models

When visual evidence is ambiguous, vision models must decide whether to interpret face-like patterns...

Bias in respiratory diagnoses by Large Language Models (LLMs) in Low Middle Income Countries (LMICs)

Introduction Clinicians and patients are likely to increasingly use Large Language Models (LLMs) for...

LLandMark: A Multi-Agent Framework for Landmark-Aware Multimodal Interactive Video Retrieval

The increasing diversity and scale of video data demand retrieval systems capable of multimodal unde...

High Diversity Gene Libraries Facilitate Machine Learning Guided Exploration of Fluorescent Protein Sequence Space

While protein language models (PLMs) have shown great promise for protein design, their performance ...

Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta

The classification of Intangible Cultural Heritage (ICH) images in the Mekong Delta poses unique cha...

AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

Large Vision-Language Models (LVLMs) have adopted visual token pruning strategies to mitigate substa...

Interpretable Debiasing of Vision-Language Models for Social Fairness

The rapid advancement of Vision-Language models (VLMs) has raised growing concerns that their black-...

GeoDiv: Framework For Measuring Geographical Diversity In Text-To-Image Models

Text-to-image (T2I) models are rapidly gaining popularity, yet their outputs often lack geographical...

Evaluating the AI Potential as a Safety Net for Diagnosis: A Novel Benchmark of Large Language Models in Correcting Diagnostic Errors

Background: Diagnostic errors are a leading cause of preventable patient harm, often occurring durin...

Detecting labeling bias using influence functions

Labeling bias arises during data collection due to resource limitations or unconscious bias, leading...

GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation

Despite high semantic alignment, modern text-to-image (T2I) generative models still struggle to synt...

Are Object-Centric Representations Better At Compositional Generalization?

Compositional generalization, the ability to reason about novel combinations of familiar concepts, i...

Phylogenetic estimation of diversity-dependent biogeographic rates using deep learning

Ecological theory predicts that local species richness can influence biogeographic rates of speciati...

Consistency-Preserving Diverse Video Generation

Text-to-video generation is expensive, so only a few samples are typically produced per prompt. In t...

The Stationarity Bias: Stratified Stress-Testing for Time-Series Imputation in Regulated Dynamical Systems

Time-series imputation benchmarks employ uniform random masking and shape-agnostic metrics (MSE, RMS...

A Generative AI Approach for Reducing Skin Tone Bias in Skin Cancer Classification

Skin cancer is one of the most common cancers worldwide and early detection is critical for effectiv...

Evaluating LLMs in Finance Requires Explicit Bias Consideration

Large Language Models (LLMs) are increasingly integrated into financial workflows, but evaluation pr...

Boards-style benchmarks overestimate prior-chat bias in large language models: a factorial evaluation study

Background: Large language models (LLMs) are increasingly piloted as chat interfaces for chart revie...

Cortical maps diverge, representations converge along cortical hierarchy

Brain maps (e.g. retinotopy, somatotopy) vary across individuals. This is thought to reflect underly...

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