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Cultural Competence

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

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Showing 1261-1281 of 3,220 articles
A Systematic Fairness Evaluation of Racial Bias in Alzheimer’s Disease Diagnosis Using Machine Learning Models

Alzheimer’s disease (AD) is a major global health concern, expected to affect 12.7 million Americans...

From microbial diversity to function; evaluating dimensionality reduction methods

Artificial Intelligence (AI), and more specifically Machine Learning (ML), have become an increasing...

The Regional Landscape of the Human Colon Culturome in Health and Cystic Fibrosis

Cystic fibrosis (CF) alters gut physiology, yet its impact on microbial communities across colonic r...

Rapidly Reconfigurable Dynamic Computing in Neural Networks with Fixed Synaptic Connectivity

Learning and memory in the brain’s neocortex have long been hypothesised to be primarily mediated by...

H3BERTa: A CDR-H3 specific language model for antibody repertoire analysis

Antibodies are central to immune defense and therapeutic design, yet predicting which sequences conf...

Assessing Scale and Predictive Diversity in Models for Single-Cell Transcriptomics based on Geneformer

Foundation models are increasingly applied to single-cell transcriptomics, where they promise to cap...

Rubisco is slow across the tree of life

Rubisco is the main gateway through which inorganic carbon enters the biosphere, catalyzing the vast...

Examining Selection Dynamics and Limitations in Multi-round Protein Selection of High Diversity Libraries

Proteins and peptides underpin essential biological functions and technological applications, from t...

Integrative metabolome-genome analysis reveals the genetic architecture of metabolic diversity in sorghum grain

Cereal grains are fundamental to global food security and bioenergy production, yet the genetic and ...

Deep learning to overcome human error and bias in electrode position extraction in tDCS-fMRI studies

Combining transcranial direct current stimulation (tDCS) with fMRI enables investigation of stimulat...

Electronic Health Record-Based Prediction Models to Inform Decisions about HIV Pre-exposure Prophylaxis: A Systematic Review

Several clinical prediction models have been developed using electronic health records data to help ...

Underdiagnosis Bias of Chest Radiograph Diagnostic AI can be Decomposed and Mitigated via Dataset Bias Attributions

Inequitable diagnostic accuracy is a broad concern in AI-based models. However, current characteriza...

Generative AI Mitigates Representation Bias and Improves Model Fairness Through Synthetic Health Data

Representation bias in health data can lead to unfair decisions and compromise the generalisability ...

Quantifying Device Type and Handedness Biases in a Remote Parkinson’s Disease AI-Powered Assessment

Early detection of Parkinson’s Disease (PD) can enable early access to care, improving patient outco...

Fair machine learning models for disease prediction: In-depth interviews with key health experts

Artificial intelligence (AI) and machine learning (ML) pose enormous potential for improving quality...

Assessing the Limitations of Large Language Models in Clinical Practice Guideline-concordant Treatment Decision-making on Real-world Data

Large Language Models (LLMs) have shown promise in therapeutic decision-making comparable to medical...

Comparative Medical Ecology of Gut Microbiomes in Major Neurodegenerative, Neurodevelopmental, and Psychiatric (NNP) Disorders

This study provides a comprehensive medical ecology analysis of gut microbiome alterations in four n...

Is Multimodal Better? A Systematic Review of Multimodal versus Unimodal Machine Learning in Clinical Decision-Making

Machine learning has demonstrated success in clinical decision-making, yet the added value of multim...

Socio-Demographic Modifiers Shape Large Language Models’ Ethical Decisions

Large language models’ (LLMs) alignment with ethical standards is unclear. We tested whether LLMs sh...

AI-Driven and Automated Continuous Oxygen Saturation Monitoring and LTOT: A Systematic Review

Long-term oxygen therapy (LTOT) is essential for patients with chronic hypoxemia, particularly due t...

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