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Cultural Competence

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

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Showing 946-966 of 3,213 articles
Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity

Despite the remarkable progress of large language models (LLMs) across various domains, their capa...

Multimodal Mathematical Reasoning with Diverse Solving Perspective

Recent progress in large-scale reinforcement learning (RL) has notably enhanced the reasoning capa...

Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench

Current diversification strategies for text-to-image (T2I) models often ignore contextual appropri...

Beyond Overcorrection: Evaluating Diversity in T2I Models with DIVBENCH

Current diversification strategies for text-to-image (T2I) models often ignore contextual appropri...

The Illusion of Fairness: Auditing Fairness Interventions with Audit Studies

Artificial intelligence systems, especially those using machine learning, are being deployed in do...

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction

MR imaging techniques are of great benefit to disease diagnosis. However, due to the limitation of...

Cells Keep Diverse Company in Diseased Tissues.

Emerging spatial profiling technologies have revolutionized our understanding of how tissue architec...

Jul 2025 40378285
Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models

Humans are able to recognize objects based on both local texture cues and the configuration of obj...

Artificial intelligence in forensic mental health: A review of applications and implications.

This narrative review explores the transformative role of artificial intelligence (AI) in forensic m...

Jul 2025 40441026
Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition.

Graph Neural Networks (GNNs) have been widely adopted to mine topological patterns contained in phys...

Jul 2025 40101553
Behavioral biases and Fintech adoption: Investigating the role of financial literacy.

This paper studies the influence of behavioral biases on Fintech adoption. Additionally, the role of...

Jul 2025 40349508
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)

The use of Natural Language Processing (NLP) in highstakes AI-based applications has increased sig...

Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes?

Open-vocabulary object detectors such as Grounding DINO are trained on vast and diverse data, achi...

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding

Understanding and decoding brain activity from electroencephalography (EEG) signals is a fundament...

DidSee: Diffusion-Based Depth Completion for Material-Agnostic Robotic Perception and Manipulation

Commercial RGB-D cameras often produce noisy, incomplete depth maps for non-Lambertian objects. Tr...

Masked Autoencoders that Feel the Heart: Unveiling Simplicity Bias for ECG Analyses

The diagnostic value of electrocardiogram (ECG) lies in its dynamic characteristics, ranging from ...

SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models' Knowledge of Indian Culture

Language Models (LMs) are indispensable tools shaping modern workflows, but their global effective...

Affective-CARA: A Knowledge Graph Driven Framework for Culturally Adaptive Emotional Intelligence in HCI

Culturally adaptive emotional responses remain a critical challenge in affective computing. This p...

Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments

Conducting disparity assessments at regular time intervals is critical for surfacing potential bia...

Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention

Recent advancements in diffusion-based text-to-image (T2I) models have enabled the generation of h...

GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models

Although Large Vision Language Models (LVLMs) have demonstrated remarkable performance in image un...

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