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Cultural Competence

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

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Gender and Ethnicity Bias of Text-to-Image Generative Artificial Intelligence in Medical Imaging, Part 1: Preliminary Evaluation.

Generative artificial intelligence (AI) text-to-image production could reinforce or amplify gender a...

Semantic Mask Reconstruction and Category Semantic Learning for few-shot image generation.

Few-shot image generation aims at generating novel images for the unseen category when given K image...

Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans.

Cranial sex estimation often relies on visual assessments made by a forensic anthropologist followin...

Gender bias in text-to-image generative artificial intelligence depiction of Australian paramedics and first responders.

INTRODUCTION: In Australia, almost 50 % of paramedics are female yet they remain under-represented i...

Gender and racial diversity Assumed by text-to-image generators in microsurgery and plastic surgery-related subspecialities.

BACKGROUND: Since the release of ChatGPT by OpenAI in November 2022, generative artificial intellige...

Deep learning methods for 3D magnetic resonance image denoising, bias field and motion artifact correction: a comprehensive review.

Magnetic resonance imaging (MRI) provides detailed structural information of the internal body organ...

Spatiotemporal Deep Learning-Based Cine Loop Quality Filter for Handheld Point-of-Care Echocardiography.

The reliability of automated image interpretation of point-of-care (POC) echocardiography scans depe...

Arithmetic abilities of SNP systems with astrocytes producing calcium.

Are the membrane systems able of performing arithmetic operations? In the last dozen years, there we...

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.

PURPOSE: There are many radiological datasets for breast cancer, some which have supported the devel...

The role of artificial intelligence in enhancing healthcare for people with disabilities.

The integration of artificial intelligence (AI) in healthcare delivery represents a transformative o...

Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment.

Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach t...

Early diagnostic value of home video-based machine learning in autism spectrum disorder: a meta-analysis.

UNLABELLED: Machine learning (ML) based on remote video has shown ideal diagnostic value in autism s...

Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning.

The ability to predict HIV-1 resistance to broadly neutralizing antibodies (bnAbs) will increase bnA...

Diminishing spectral bias in physics-informed neural networks using spatially-adaptive Fourier feature encoding.

Physics-informed neural networks (PINNs) have recently emerged as a promising framework for solving ...

Comparative Analysis of Machine-Learning Model Performance in Image Analysis: The Impact of Dataset Diversity and Size.

BACKGROUND: This study presents an analysis of machine-learning model performance in image analysis,...

Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education.

In this article, the authors propose a repurposing of the concept of entrustment to help guide the u...

Machine learning in causal inference for epidemiology.

In causal inference, parametric models are usually employed to address causal questions estimating t...

Enhancing Bias Assessment for Complex Term Groups in Language Embedding Models: Quantitative Comparison of Methods.

BACKGROUND: Artificial intelligence (AI) is rapidly being adopted to build products and aid in the d...

Visualizing radiological data bias through persistence images.

Persistence images, derived from topological data analysis, emerge as a powerful tool for visualizin...

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