Cultural Competence

Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach.

In this article, we examine the accuracy and bias of market valuations in the U.S. commercial real e...

Detecting Common Sources of AI Bias: Questions to Ask When Procuring an AI Solution.

Predicting Churn in Online Games by Quantifying Diversity of Engagement.

Understanding engagement patterns of users in online platforms, may it be games, online social netwo...

Unlocking the microbial studies through computational approaches: how far have we reached?

The metagenomics approach accelerated the study of genetic information from uncultured microbes and ...

Tritium: Its relevance, sources and impacts on non-human biota.

Tritium (H) is a radioactive isotope of hydrogen that is abundantly released from nuclear industries...

Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158.

Health Professions Education (HPE) has benefitted from the advances in Artificial Intelligence (AI) ...

A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation.

The conservation of avian diversity plays a critical role in maintaining ecological balance and ecos...

Application of Deep Learning System Technology in Identification of Women's Breast Cancer.

: The classification of breast cancer is performed based on its histological subtypes using the degr...

Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.

IMPORTANCE: Neuroimaging-based artificial intelligence (AI) diagnostic models have proliferated in p...

Biases associated with database structure for COVID-19 detection in X-ray images.

Several artificial intelligence algorithms have been developed for COVID-19-related topics. One that...

Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence-assisted workflow.

Detection of measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is an important...

Artificial Intelligence and Cancer Control: Toward Prioritizing Justice, Equity, Diversity, and Inclusion (JEDI) in Emerging Decision Support Technologies.

PURPOSE FOR REVIEW: This perspective piece has two goals: first, to describe issues related to artif...

Evaluation of Robotic Systems on Cytotoxic Drug Preparation: A Systematic Review and Meta-Analysis.

: With the increased prevalence of patients with cancer, the demand for preparing cytotoxic drugs wa...

Being ostensive (reply to commentaries on "Expression unleashed").

One of our main goals with "Expression unleashed" was to highlight the distinctive, ostensive nature...

The Use of Facial Recognition Software and Published Manuscripts to Examine Trends in Surgical Editorial Board Diversity.

INTRODUCTION: Recent social justice movements have highlighted the need for improved diversity and i...

Systematic Evaluation of Local and Global Machine Learning Models for the Prediction of ADME Properties.

Machine learning (ML) has become an indispensable tool to predict absorption, distribution, metaboli...

Evaluation of AIML + HDR-A Course to Enhance Data Science Workforce Capacity for Hispanic Biomedical Researchers.

Artificial intelligence (AI) and machine learning (ML) facilitate the creation of revolutionary medi...

Bias in Artificial Intelligence: Basic Primer.

Deep learning-based hemorrhage detection for diabetic retinopathy screening.

Diabetic retinopathy is a retinal compilation that causes visual impairment. Hemorrhage is one of th...

Avoiding bias in artificial intelligence.

Artificial intelligence (AI) is ubiquitous and expanding, and the healthcare industry has rapidly ad...

A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm.

The early, valid prediction of heart problems would minimize life threats and save lives, while lack...