Cultural Competence

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

3,220 articles

Who Gets the Callback? Generative AI and Gender Bias

Generative artificial intelligence (AI), particularly large language models (LLMs), is being rapid...

Apr 2025 http://arxiv.org/abs/2504.21400v1

Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers

A person downloading a pre-trained model from the web should be aware of its biases. Existing appr...

Apr 2025 http://arxiv.org/abs/2504.20902v1

SynergyAmodal: Deocclude Anything with Text Control

Image deocclusion (or amodal completion) aims to recover the invisible regions (\ie, shape and app...

Apr 2025 http://arxiv.org/abs/2504.19506v1

Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective

Multi-Modal Entity Alignment (MMEA) aims to retrieve equivalent entities from different Multi-Moda...

Apr 2025 http://arxiv.org/abs/2504.19458v3

A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption

Artificial Intelligence (AI) holds great promise for transforming healthcare, particularly in dise...

Apr 2025 http://arxiv.org/abs/2504.19179v1

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning

Explainable artificial intelligence (XAI) has become increasingly important in decision-critical d...

Apr 2025 http://arxiv.org/abs/2504.19027v1

Automatic Bias Detection in Source Code Review

Bias is an inherent threat to human decision-making, including in decisions made during software d...

Apr 2025 http://arxiv.org/abs/2504.18449v1

Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data

Accurate myocardial image registration is essential for cardiac strain analysis and disease diagno...

Apr 2025 http://arxiv.org/abs/2504.17945v1

Evaluating and Mitigating Bias in AI-Based Medical Text Generation

Artificial intelligence (AI) systems, particularly those based on deep learning models, have incre...

Apr 2025 http://arxiv.org/abs/2504.17279v1

Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching

Fairness-aware learning aims to mitigate discrimination against specific protected social groups (...

Apr 2025 http://arxiv.org/abs/2504.17066v2

Context Aware Grounded Teacher for Source Free Object Detection

We focus on the Source Free Object Detection (SFOD) problem, when source data is unavailable durin...

Apr 2025 http://arxiv.org/abs/2504.15404v1

Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving

A recommender system (RS) aims to provide users with personalized item recommendations, enhancing ...

Apr 2025 http://arxiv.org/abs/2504.15090v1

FarsEval-PKBETS: A new diverse benchmark for evaluating Persian large language models

Research on evaluating and analyzing large language models (LLMs) has been extensive for resource-...

Apr 2025 http://arxiv.org/abs/2504.14690v1

A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling

There are many ways to describe, name, and group objects when captioning an image. Differences are...

Apr 2025 http://arxiv.org/abs/2504.14359v1

DeepPD: Joint Phase and Object Estimation from Phase Diversity with Neural Calibration of a Deformable Mirror

Sample-induced aberrations and optical imperfections limit the resolution of fluorescence microsco...

Apr 2025 http://arxiv.org/abs/2504.14157v1

Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity

Following the initial excitement, Text-to-Image (TTI) models are now being examined more criticall...

Apr 2025 http://arxiv.org/abs/2504.14125v1

Uncovering an Attractiveness Bias in Multimodal Large Language Models: A Case Study with LLaVA

Physical attractiveness matters. It has been shown to influence human perception and decision-maki...

Apr 2025 http://arxiv.org/abs/2504.16104v1

Using LLMs as prompt modifier to avoid biases in AI image generators

This study examines how Large Language Models (LLMs) can reduce biases in text-to-image generation...

Apr 2025 http://arxiv.org/abs/2504.11104v1

Name of Thrones: Evaluating How LLMs Rank Student Names, Race, and Gender in Status Hierarchies

Across cultures, names tell a lot about their bearers as they carry deep personal and cultural sig...

Apr 2025 http://arxiv.org/abs/2504.10797v1

Artificial Intelligence in Cancer Care: Addressing Challenges and Health Equity.

Overdiagnosis in cancer care remains a significant concern, often resulting in unnecessary physical,...

Apr 2025 40266052

Graph-Based Prediction Models for Data Debiasing

Bias in data collection, arising from both under-reporting and over-reporting, poses significant c...

Apr 2025 http://arxiv.org/abs/2504.09348v2

State Required CME