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Cultural Competence

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

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Showing 190-210 of 3,657 articles
The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.

Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promisi...

Dual-Filter Cross Attention and Onion Pooling Network for Enhanced Few-Shot Medical Image Segmentation.

Few-shot learning has demonstrated remarkable performance in medical image segmentation. However, ex...

Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms.

Microorganisms are one of the most promising biomarkers for cancer, and the relationship between mic...

Demographic bias of expert-level vision-language foundation models in medical imaging.

Advances in artificial intelligence (AI) have achieved expert-level performance in medical imaging a...

Deep neural networks excel in COVID-19 disease severity prediction-a meta-regression analysis.

COVID-19 is a disease in which early prognosis of severity is critical for desired patient outcomes ...

Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children.

BACKGROUND: Child nutrition in Ethiopia is a significant concern, particularly for preschool-aged ch...

Class balancing diversity multimodal ensemble for Alzheimer's disease diagnosis and early detection.

Alzheimer's disease (AD) poses significant global health challenges due to its increasing prevalence...

Critical scenarios adversarial generation method for intelligent vehicles testing based on hierarchical reinforcement architecture.

The widespread deployment of intelligent vehicles necessitates comprehensive testing across diverse ...

Building a Gender-Bias-Resistant Super Corpus as a Deep Learning Baseline for Speech Emotion Recognition.

The focus on Speech Emotion Recognition has dramatically increased in recent years, driven by the ne...

Technical and regulatory challenges in artificial intelligence-based pulse oximetry: a proposed development pipeline.

Pulse oximetry, although generally effective under ideal conditions, faces challenges in accurately ...

A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry.

The deployment of artificial intelligence (AI) is revolutionizing neuropharmacology and drug develop...

Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review.

BACKGROUND: Stroke is a major cause of mortality and permanent disability worldwide. Precise predict...

Sex bias consideration in healthcare machine-learning research: a systematic review in rheumatoid arthritis.

OBJECTIVE: To assess the acknowledgement and mitigation of sex bias within studies using supervised ...

Capillariid diversity in archaeological material from the New and the Old World: clustering and artificial intelligence approaches.

BACKGROUND: Capillariid nematode eggs have been reported in archaeological material in both the New ...

Enhancing Patient-Physician Communication: Simulating African American Vernacular English in Medical Diagnostics with Large Language Models.

UNLABELLED: Effective communication is crucial in reducing health disparities. However, linguistic d...

Predicting the diversity of photosynthetic light-harvesting using thermodynamics and machine learning.

Oxygenic photosynthesis is responsible for nearly all biomass production on Earth, and may have been...

Overconfident, but angry at least. AI-Based investigation of facial emotional expressions and self-assessment bias in human adults.

Metacognition and facial emotional expressions both play a major role in human social interactions [...

Equitable machine learning counteracts ancestral bias in precision medicine.

Gold standard genomic datasets severely under-represent non-European populations, leading to inequit...

Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs.

G protein-coupled receptors (GPCRs) remain a focal point of research due to their critical roles in ...

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