Cultural Competence

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

3,226 articles

Relation-Guided Adversarial Learning for Data-free Knowledge Transfer

Data-free knowledge distillation transfers knowledge by recovering training data from a pre-traine...

Dec 2024 http://arxiv.org/abs/2412.11380v1

Making Bias Amplification in Balanced Datasets Directional and Interpretable

Most of the ML datasets we use today are biased. When we train models on these biased datasets, th...

Dec 2024 http://arxiv.org/abs/2412.11060v1

Artificial Intelligence in Mental Health and Well-Being: Evolution, Current Applications, Future Challenges, and Emerging Evidence

Artificial Intelligence (AI) is a broad field that is upturning mental health care in many ways, f...

Dec 2024 http://arxiv.org/abs/2501.10374v1

Err on the Side of Texture: Texture Bias on Real Data

Bias significantly undermines both the accuracy and trustworthiness of machine learning models. To...

Dec 2024 http://arxiv.org/abs/2412.10597v2

Analyzing Fairness of Classification Machine Learning Model with Structured Dataset

Machine learning (ML) algorithms have become integral to decision making in various domains, inclu...

Dec 2024 http://arxiv.org/abs/2412.09896v2

CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability

The rise of digital platforms has led to an increasing reliance on technology-driven, home-based h...

Dec 2024 http://arxiv.org/abs/2412.09223v1

Pinpoint Counterfactuals: Reducing social bias in foundation models via localized counterfactual generation

Foundation models trained on web-scraped datasets propagate societal biases to downstream tasks. W...

Dec 2024 http://arxiv.org/abs/2412.09160v1

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation

The prevalence of unhealthy eating habits has become an increasingly concerning issue in the Unite...

Dec 2024 http://arxiv.org/abs/2412.08847v1

InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models

As one of the most successful generative models, diffusion models have demonstrated remarkable eff...

Dec 2024 http://arxiv.org/abs/2412.08480v1

DOGE: An Extrinsic Orientation and Gyroscope Bias Estimation for Visual-Inertial Odometry Initialization

Most existing visual-inertial odometry (VIO) initialization methods rely on accurate pre-calibrate...

Dec 2024 http://arxiv.org/abs/2412.08135v1

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets

While one commonly trains large diffusion models by collecting datasets on target downstream tasks...

Dec 2024 http://arxiv.org/abs/2412.07775v6

Multimodal Sentiment Analysis Based on Causal Reasoning

With the rapid development of multimedia, the shift from unimodal textual sentiment analysis to mu...

Dec 2024 http://arxiv.org/abs/2412.07292v1

Diverse Score Distillation

Score distillation of 2D diffusion models has proven to be a powerful mechanism to guide 3D optimi...

Dec 2024 http://arxiv.org/abs/2412.06780v2

MAVias: Mitigate any Visual Bias

Mitigating biases in computer vision models is an essential step towards the trustworthiness of ar...

Dec 2024 http://arxiv.org/abs/2412.06632v1

SafeWorld: Geo-Diverse Safety Alignment

In the rapidly evolving field of Large Language Models (LLMs), ensuring safety is a crucial and wi...

Dec 2024 http://arxiv.org/abs/2412.06483v1

Fairness in Computational Innovations: Identifying Bias in Substance Use Treatment Length of Stay Prediction Models with Policy Implications

Predictive machine learning (ML) models are computational innovations that can enhance medical dec...

Dec 2024 http://arxiv.org/abs/2412.05832v1

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