Latest AI and machine learning research in cultural competence for healthcare professionals.
Skin neglected tropical diseases (NTDs) such as cutaneous leishmaniasis, lymphatic filariasis, mycet...
Incomplete or incorrect causal theories are a key source of bias in machine learning (ML) algorithms...
Large language models (LLMs) are increasingly used in randomized clinical trial (RCT) screening, but...
Gender-neutral patient education materials often overlook critical sex-based differences in cardiova...
Systematic reviews (SRs) are essential for evidence-based practice but remain labor-intensive, espec...
Electronic health record (EHR) data often missed care outside a given health system, resulting in da...
To develop and evaluate an automatic patient review analyzer that applies advanced Natural Language ...
Colorectal cancer is the third leading cause of cancer-related deaths in the United States, and colo...
Primary care is facing multiple crises, including an increase in health misinformation. Digital heal...
Bias in machine learning is a persistent challenge because it can create unfair outcomes, limit gene...
Heart failure (HF), including heart failure with preserved ejection fraction (HFpEF) and heart failu...
Large language models are increasingly used for clinical decision support yet may perpetuate socioec...
This study aimed to systematically review and critically evaluate the risk of bias and applicability...
Effective evaluation and governance of predictive models used in health care, particularly those dri...
Political bias is an inescapable characteristic in news and media reporting, and understanding what ...
Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including f...
Malaria remains a significant global health burden, particularly in resource-limited regions where...
Visitors to cultural heritage sites often encounter official information, while local people's uno...
Introduction: Healthcare AI models often inherit biases from their training data. While efforts ha...
The rapid development of large language models (LLMs) and large vision models (LVMs) have propelle...
Person re-identification (ReID) models often struggle to generalize across diverse cultural contex...