Cultural Competence

FedBM: Stealing knowledge from pre-trained language models for heterogeneous federated learning.

Federated learning (FL) has shown great potential in medical image computing since it provides a dec...

Uncovering key sources of regional ozone simulation biases using machine learning and SHAP analysis.

Atmospheric chemical transport models (CTMs) are widely used in air quality management, but still ha...

Learning Consistent Semantic Representation for Chest X-ray via Anatomical Localization in Self-Supervised Pre-Training.

Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying...

Cognitive biases in forensic psychiatry: A scoping review.

Forensic psychiatry plays a critical role in legal contexts but is highly susceptible to cognitive b...

Machine learning classifier solving the problem of sleep stage imbalance between overnight sleep.

Feature extraction follows the American Academy of Sleep Medicine (AASM) sleep score manually and ap...

Quantitative analysis and evaluation of winter and summer landscape colors in the Yangzhou ancient Canal utilizing deep learning.

Color is an important index for human visual evaluation of landscape, and it is also a key factor af...

Structural Similarity, Activity, and Toxicity of Mycotoxins: Combining Insights from Unsupervised and Supervised Machine Learning Algorithms.

A large number of mycotoxins and related fungal metabolites have not been assessed in terms of their...

Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work.

PURPOSE: Artificial Intelligence (AI) technologies are rapidly expanding across diverse contexts. As...

The Transformative Role of Artificial Intelligence in Dentistry: A Comprehensive Overview Part 2: The Promise and Perils, and the International Dental Federation Communique.

In the final part of this two part article on artificial intelligence (AI) in dentistry we review it...

Enhancing the decision optimization of interaction design in sustainable healthcare with improved artificial bee colony algorithm and generative artificial intelligence.

With the development of digital health, enhancing decision-making effectiveness has become a critica...

Replica tree-based federated learning using limited data.

Learning from limited data has been extensively studied in machine learning, considering that deep n...

Artificial Intelligence Meets Holistic Review: Promises and Pitfalls of Automating the Medical Education Admissions Process.

Holistic review has been widely adopted in medical education as a means of promoting equity in the a...

Perspectives of Black, Latinx, Indigenous, and Asian Communities on Health Data Use and AI: Cross-Sectional Survey Study.

Despite excitement around artificial intelligence (AI)-based tools in health care, there is work to ...

Equity in Radiology Research Is Essential for Improving Diversity and Inclusivity in Clinical Data, Reducing Bias and Increasing Artificial Intelligence Accuracy.

A systematic literature review of machine learning techniques for the detection of attention-deficit/hyperactivity disorder using MRI and/or EEG data.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition common in teenager...

Using artificial intelligence tools for data quality evaluation in the context of microplastic human health risk assessments.

Concerns about the negative impacts of microplastics on human health are increasing in society, whil...

Integrating enterprise risk management to address AI-related risks in healthcare: Strategies for effective risk mitigation and implementation.

The incorporation of artificial intelligence (AI) in health care offers revolutionary enhancements i...

Fast Interpretable Greedy-Tree Sums.

Modern machine learning has achieved impressive prediction performance, but often sacrifices interpr...

Probing the eukaryotic microbes of ruminants with a deep-learning classifier and comprehensive protein databases.

Metagenomics, particularly genome-resolved metagenomics, have significantly deepened our understandi...

Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography.

PURPOSE: To determine how automation bias (inclination of humans to overly trust-automated decision-...

Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning.

Accurate detection and prevalence estimation of behavioral health conditions, such as opioid use dis...