Cultural Competence

Prediction of Metal Nanoparticle Interactions with Soil Properties: Machine Learning Insights into Soil Health Dynamics.

Metal nanoparticles (MNPs) offer great potential to enable precision and sustainable agriculture. However, a comprehensive understanding of the interactions between multiple MNPs and soil properties, including impacts on overall soil health, remains elusive. Here, 4 different interpretable machine learning models were employed to systematically analyze the interactive effects of 7 soil physicochem...

Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 2: Analysis of DALL-E 3.

Disparity among gender and ethnicity remains an issue across medicine and health science. Only 26%-35% of trainee radiologists are female, despite more than 50% of medical students' being female. Similar gender disparities are evident across the medical imaging professions. Generative artificial intelligence text-to-image production could reinforce or amplify gender biases. In March 2024, DALL-E ...

AI integration and workforce development: Exploring job autonomy and creative self-efficacy in a global context.

This paper explores the relationship between Artificial Intelligence (AI) integration in the workplace, cultural orientation, and its impact on job au...

Educating Medical Students on Deaf-Hearing Interpreter Teams: A Virtual Patient Panel Experience.

Communication and cultural differences render d/Deaf patients vulnerable to poorer health outcomes when compared to their hearing peers. Interventions...

Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop.

Trustworthiness has become a key concept for the ethical development and application of artificial intelligence (AI) in medicine. Various guidelines h...

Concept transfer of synaptic diversity from biological to artificial neural networks.

Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neu...

Estimating wage disparities using foundation models.

The rise of foundation models marks a paradigm shift in machine learning: instead of training specialized models from scratch, foundation models are t...

Bias in Artificial Intelligence: Impact on Breast Imaging.

Artificial intelligence (AI) in breast imaging has garnered significant attention given the numerous reports of improved efficiency, accuracy, and the...

AI-Enhanced Rural Medical Education: Bridging Gaps and Building Trust.

Persistent geographic and specialty-based disparities in health care workforce distribution have created critical gaps in rural health care access, re...

So You've Got a High AUC, Now What? An Overview of Important Considerations when Bringing Machine-Learning Models from Computer to Bedside.

Machine-learning (ML) models have the potential to transform health care by enabling more personalized and data-driven clinical decision making. Howev...

Genomic advancements in goat breeding: enhancing productivity, disease resistance, and sustainability in India's rural economy.

Goats are vital to the rural economy of India, contributing significantly to livelihoods, nutrition, and agricultural sustainability. With a populatio...

Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.

OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. However, analytical bias in laboratory measurements ...

Mitigating medical dataset bias by learning adaptive agreement from a biased council.

Dataset bias in images is an important yet less explored topic in medical images. Deep learning could be prone to learning spurious correlation raised...

Diversity of U1 Small Nuclear RNAs and Diagnostic Methods for Their Mutations.

U1 small nuclear RNA (snRNA) mutations are recurrent non-coding alterations found in various malignancies, yet their identification has proven challen...

Structure from motion-convolutional neural network model (SfM-CNN) achieved accurate portable Chinese dietary chemical composition estimation for dietary recall.

Accurately estimating the chemical composition of dietary intake is essential for health and nutrition management, especially in regions with complex ...

Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation.

BACKGROUND: The integration of Artificial Intelligence (AI) in nephrology has raised concerns regarding bias, fairness, and ethical decision-making, p...

From development to implementation: a systematic review on the current maturity status of artificial intelligence models for patients with colorectal cancer liver metastases.

Introduction Artificial intelligence (AI) is increasingly being researched and developed in the medical field and holds potential to transform healthc...

LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models.

Phosphorus is essential for life and critically influences marine productivity. Despite geochemical evidence of active phosphorus cycling in deep-sea ...

DiverseReID: Towards generalizable person re-identification via Dynamic Style Hallucination and decoupled domain experts.

Person re-identification (re-ID) models often fail to generalize well when deployed to other camera networks with domain shift. A classical domain gen...

Enhancing Dental Care for Patients With Limited English Proficiency: Integrating Interpretation, Cultural Competency, and Artificial Intelligence.

Limited English proficiency (LEP) presents substantial barriers in dental settings, including miscommunication, reduced access to care, and ethical ch...