Cultural Competence

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

3,220 articles

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?

Unlike traditional visual segmentation, audio-visual segmentation (AVS) requires the model not onl...

Feb 2025 http://arxiv.org/abs/2502.00358v2

ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition

Bias in machine learning models can lead to unfair decision making, and while it has been well-stu...

Jan 2025 http://arxiv.org/abs/2502.00156v2

Machine Learning Fairness for Depression Detection using EEG Data

This paper presents the very first attempt to evaluate machine learning fairness for depression de...

Jan 2025 http://arxiv.org/abs/2501.18192v1

Cross-Language Approach for Quranic QA

Question answering systems face critical limitations in languages with limited resources and scarc...

Jan 2025 http://arxiv.org/abs/2501.17449v1

Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?

Text-to-Image (T2I) models have recently gained significant attention due to their ability to gene...

Jan 2025 http://arxiv.org/abs/2501.15775v1

A Comprehensive Social Bias Audit of Contrastive Vision Language Models

In the domain of text-to-image generative models, biases inherent in training datasets often propa...

Jan 2025 http://arxiv.org/abs/2501.13223v4

Reducing Size Bias in Sampling for Infectious Disease Spread on Networks

Epidemiological models can aid policymakers in reducing disease spread by predicting outcomes base...

Jan 2025 http://arxiv.org/abs/2501.13195v2

Academic case reports lack diversity: Assessing the presence and diversity of sociodemographic and behavioral factors related to Post COVID-19 Condition

Understanding the prevalence, disparities, and symptom variations of Post COVID-19 Condition (PCC)...

Jan 2025 http://arxiv.org/abs/2501.12538v3

Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language models

Animal stereotypes are deeply embedded in human culture and language. They often shape our percept...

Jan 2025 http://arxiv.org/abs/2501.12433v2

Zero-shot Bias Correction: Efficient MR Image Inhomogeneity Reduction Without Any Data

In recent years, deep neural networks for image inhomogeneity reduction have shown promising resul...

Jan 2025 http://arxiv.org/abs/2501.12244v1

On the "Illusion" of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributes

Face recognition systems (FRS) exhibit significant accuracy differences based on the user's gender...

Jan 2025 http://arxiv.org/abs/2501.12020v1

Are generative models fair? A study of racial bias in dermatological image generation

Racial bias in medicine, such as in dermatology, presents significant ethical and clinical challen...

Jan 2025 http://arxiv.org/abs/2501.11752v2

MASS: Overcoming Language Bias in Image-Text Matching

Pretrained visual-language models have made significant advancements in multimodal tasks, includin...

Jan 2025 http://arxiv.org/abs/2501.11469v1

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs

This paper introduces a promising alternative method for training Generative Adversarial Networks ...

Jan 2025 http://arxiv.org/abs/2501.11236v1

Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation

Accurate classification of clinical text often requires fine-tuning pre-trained language models, a...

Jan 2025 http://arxiv.org/abs/2501.11199v2

[Legal Risk Assessment and Prevention in Artificial Intelligence-Assisted Health Care].

With the wide application of new technologies such as large language models and generative artificia...

Jan 2025 40109456

Bias for Action: Video Implicit Neural Representations with Bias Modulation

We propose a new continuous video modeling framework based on implicit neural representations (INR...

Jan 2025 http://arxiv.org/abs/2501.09277v1

AI for all: bridging data gaps in machine learning and health.

Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transfor...

Jan 2025 39868946

Enhancing the De-identification of Personally Identifiable Information in Educational Data

Protecting Personally Identifiable Information (PII), such as names, is a critical requirement in ...

Jan 2025 http://arxiv.org/abs/2501.09765v1

Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies

Note: This paper includes examples of potentially offensive content related to religious bias, pre...

Jan 2025 http://arxiv.org/abs/2501.08441v1

PrecipDiff: Leveraging image diffusion models to enhance satellite-based precipitation observations

A recent report from the World Meteorological Organization (WMO) highlights that water-related dis...

Jan 2025 http://arxiv.org/abs/2501.07447v1

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