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Cultural Competence

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

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Showing 22-42 of 3,657 articles
Comparing artificial intelligence- vs clinician-authored summaries of simulated primary care electronic health records.

OBJECTIVE: To compare clinical summaries generated from simulated patient primary care electronic he...

AI-AI bias: Large language models favor communications generated by large language models.

Are large language models (LLMs) biased in favor of communications produced by LLMs, leading to poss...

Attractor dynamics of working memory explain a concurrent evolution of stimulus-specific and decision-consistent biases in visual estimation.

Sensory evidence tends to be fleeting, often unavailable when we categorize or estimate world featur...

Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members.

BACKGROUND: This paper explores the perception and application of artificial intelligence (AI) for p...

Ensemble of Bayesian alphabets via constraint weight optimization strategy improves genomic prediction accuracy.

This study proposes a weight optimization-based ensemble framework aimed at improving genomic predic...

Wide-/Narrow-Bandgap Heterojunction for High Performance Differential Photodetector with Tunable Response.

Amid the rapid advancement in modern photonics and artificial intelligence, optoelectronic devices w...

Dissecting HealthBench: Disease Spectrum, Clinical Diversity, and Data Insights from Multi-Turn Clinical AI Evaluation Benchmark.

HealthBench is an open-source, large-scale benchmark consisting of 5,000 multi-turn clinical convers...

Ultrasensitive Detection via Machine Learning-Optimized Bacterial-Imprinted Photoelectrochemical Biosensor with Active/Passive Dual-Mode Validation.

Currently, the existing detection platforms face persistent challenges in achieving reliable bacteri...

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study.

BACKGROUND: By analyzing electronic health record snapshots of similar patients, physicians can proa...

Ethical decision-making for AI in mental health: the Integrated Ethical Approach for Computational Psychiatry (IEACP) framework.

The integration of computational methods into psychiatry presents profound ethical challenges that e...

Mitigating Data Bias in Healthcare AI with Self-Supervised Standardization.

The rapid advancement of artificial intelligence (AI) in healthcare has accelerated innovations in m...

AlphaBind, a domain-specific model to predict and optimize antibody-antigen binding affinity.

Antibodies are versatile therapeutic molecules that use combinatorial sequence diversity to cover a ...

Editor's view: What makes science successful?

This editorial examines the factors contributing to the success of science, tracing its evolution fr...

Predicting arterial pressure without prejudice: towards effective hypotension prediction models.

Selection bias has been identified in hypotension prediction models, but its impact on an algorithm'...

Addressing bias in biomarker discovery for inflammatory bowel diseases: A multi-faceted analytical approach.

Xiang-Guang et al. investigate the identification of novel biomarkers linked to M1 macrophage infilt...

Application of image guided analyses to monitor fecal microbial composition and diversity in a human cohort.

The critical role of gut microbiota in human health and disease has been increasingly illustrated ov...

Video-based pupillometry using Fourier Mellin image correlation.

We introduce a novel method for evaluating the pupil light reflex (PLR) response using digital video...

Revolutionizing personalized medicine using artificial intelligence: a meta-analysis of predictive diagnostics and their impacts on drug development.

Artificial intelligence (AI) is transforming the landscape of laboratory medicine by enhancing diagn...

A multi-stage training and deep supervision based segmentation approach for 3D abdominal multi-organ segmentation.

Accurate X-ray Computed tomography (CT) image segmentation of the abdominal organs is fundamental fo...

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