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Cultural Competence

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

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Showing 1072-1092 of 3,669 articles
First report on analysis of chemical space, scaffold diversity, critical structural features of HDAC11 inhibitors.

In the histone deacetylase (HDAC) family, HDAC11 is the smallest and a single member under the class...

Effectiveness of AI-driven interventions in glycemic control: A systematic review and meta-analysis of randomized controlled trials.

This systematic review aims to assess the effectiveness of AI-Driven Decision Support Systems in imp...

Spectral-diversity receiver for dispersion-induced power-fading mitigation in C-band IM-DD systems.

With the ongoing expansion of artificial intelligence data centers and the increasing demand for hig...

Structural Bias in Three-Dimensional Autoregressive Generative Machine Learning of Organic Molecules.

A range of generative machine learning models for the design of novel molecules and materials have b...

BalancedDiff: Balanced Diffusion Network for High-Quality Molecule Generation.

Traditional drug discovery and development are time-consuming and expensive. Deep learning-based mol...

Novel composite health assessment risk model for older allogeneic transplant recipients: BMT-CTN 1704.

Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults wi...

ASOptimizer: optimizing chemical diversity of antisense oligonucleotides through deep learning.

Antisense oligonucleotides (ASOs) are a promising class of gene therapies that can modulate the gene...

Cells Keep Diverse Company in Diseased Tissues.

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

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...

Impact of spectrum bias on deep learning-based stroke MRI analysis.

PURPOSE: To evaluate spectrum bias in stroke MRI analysis by excluding cases with uncertain acute is...

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis.

Confounding factors inherent in medical images can significantly impact the causal exploration capab...

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...

Generating Inverse Feature Space for Class Imbalance in Point Cloud Semantic Segmentation.

Point cloud semantic segmentation can enhance the understanding of the production environment and is...

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...

Role of Artificial Intelligence in Detecting and Classifying Aortic Dissection: Where Are We? A Systematic Review and Meta-Analysis.

Purpose To evaluate the diagnostic performance of artificial intelligence (AI) models in detecting a...

UrduSER: A comprehensive dataset for speech emotion recognition in Urdu language.

Speech Emotion Recognition (SER) is a rapidly evolving field of research that aims to identify and c...

Peptides in plant-microbe interactions: Functional diversity and pharmacological applications.

As dynamic interfaces governing molecular recognition and signal transduction, interactions between ...

Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe pat...

Addressing Workforce and Ethical Gaps in AI-Driven Mental Health Care: A Response to Higgins and Wilson.

Artificial intelligence (AI)-based clinical decision support systems (CDSS) hold great promise for m...

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