Cultural Competence

Evaluating algorithmic bias on biomarker classification of breast cancer pathology reports.

OBJECTIVES: This work evaluated algorithmic bias in biomarkers classification using electronic patho...

Efficient estimation of plant species diversity in desert regions using UAV-based quadrats and advanced machine learning techniques.

Understanding the distribution of plant species diversity(PSD) along spatial and environmental gradi...

Assessing bias in AI-driven psychiatric recommendations: A comparative cross-sectional study of chatbot-classified and CANMAT 2023 guideline for adjunctive therapy in difficult-to-treat depression.

The integration of chatbots into psychiatry introduces a novel approach to support clinical decision...

RoBIn: A Transformer-based model for risk of bias inference with machine reading comprehension.

OBJECTIVE: Scientific publications are essential for uncovering insights, testing new drugs, and inf...

Methylomes Reveal Recent Evolutionary Changes in Populations of Two Plant Species.

Plant DNA methylation changes occur hundreds to thousands of times faster than DNA mutations and can...

Increasing the ethnic diversity of senior leadership within the English National Health Service: using an artificial intelligence approach to evaluate inclusive recruitment strategies in hospital settings.

BACKGROUND: The English National Health Service (NHS) strives for a fair, diverse, and inclusive wor...

Artificial intelligence to improve cardiovascular population health.

With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthca...

Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives.

BACKGROUND: There is a growing concern about artificial intelligence (AI) applications in healthcare...

Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study.

BACKGROUND: The increasing use of direct-to-consumer artificial intelligence (AI)-enabled mobile hea...

Emergent social conventions and collective bias in LLM populations.

Social conventions are the backbone of social coordination, shaping how individuals form a group. As...

Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation.

Machine Learning models, more specifically Artificial Neural Networks, are transforming medical imag...

Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.

Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive pr...

Pros, Cons and Limits of AI in Public Health.

This paper explores the role of Artificial Intelligence (AI) in Public Health (PH), examining its be...

Bias Detection in Histology Images Using Explainable AI and Image Darkness Assessment.

The study underscores the importance of addressing biases in medical AI models to improve fairness, ...

Innovations in maternal-fetal dermatology: A focus on artificial intelligence-driven diagnostics, global disparities, and transformative care.

Pregnancy-associated dermatologic conditions emerge from intricate hormonal, immunologic, genetic, a...

From data to perception: visualizing bias in artificial intelligence-generated images.

Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...

Human Rights and Artificial Intelligence in Healthcare-Related Settings: A Grammar of Human Rights Approach.

This article examines the expanding role of Artificial Intelligence (AI) in healthcare and associate...

Generating diversity and securing completeness in algorithmic retrosynthesis.

Chemical synthesis planning has considerably benefited from advances in the field of machine learnin...

SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning.

To develop scanning electron microscopy-based Trainable Weka (Waikato Environment for Knowledge Ana...

Active Learning FEP: Impact on Performance of AL Protocol and Chemical Diversity.

Active learning using models built on binding potency predictions from free energy perturbation (AL-...