Cultural Competence

Unveiling Bias in Distilled Artificial Intelligence Models: Ethical and Clinical Impacts on Decision-Making and Medical Auditing.

Machine Learning Identifies Sexual Behavior Subgroups Among Men Who Have Sex with Men in Switzerland.

Sexual behavior is heterogeneous and dynamic. Characterization of such complexity constitutes eviden...

Development and evaluation of machine learning training strategies for neonatal mortality prediction using multicountry data.

Neonatal mortality poses a critical challenge in global health, particularly in low- and middle-inco...

Reply to the Letter to the Editor: Navigating bias in machine learning-reevaluating feature importances through robust statistical analysis.

Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis.

BACKGROUND: Delays in the diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) contribute to ...

Assessing risk of bias in toxicological studies in the era of artificial intelligence.

Risk of bias is a critical factor influencing the reliability and validity of toxicological studies,...

Utility of synthetic musculoskeletal gaits for generalizable healthcare applications.

Deep-neural-network-based artificial intelligence enables quantitative gait analysis with commodity ...

Letter to the Editor: Navigating bias in machine learning-reevaluating feature importances through robust statistical analysis.

Breeding perspectives on tackling trait genome-to-phenome (G2P) dimensionality using ensemble-based genomic prediction.

Trait Genome-to-Phenome (G2P) dimensionality and "breeding context" combine to influence the realise...

Multidimensional surface-enhanced Raman scattering biosensor integrated convolutional neural networks for accurate bacteria identification.

Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful technique for bacterial detecti...

Phytoplankton functional types in the Black Sea. A regionalized algorithm for improving ecosystem monitoring by integrating In-Situ HPLC pigment analysis and satellite observations.

Phytoplankton in the Black Sea plays a key role in regional biogeochemical cycles, but its complex o...

Demystifying the Dermatology Residency Application Process, Part II - Application Season: Strategic Application, Interviewing, and Mentorship.

The dermatology residency match has become increasingly competitive, culminating in a 2025 United St...

Methodological conduct and risk of bias in studies on prenatal birthweight prediction models using machine learning techniques: a systematic review.

OBJECTIVE: To assess the methodological quality and the risk of bias, of studies that developed pred...

Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications.

Kidney pathology of immunoglobulin A nephropathy (IgAN), which is the key finding of both diagnosis ...

Quality assessment of large language models' output in maternal health.

Optimising healthcare is linked to broadening access to health literacy in Low- and Middle-Income Co...

Metamaterial based tri-band compact MIMO antenna system for 5G IoT applications with machine learning performance verification.

This paper presents a novel tri-band Multiple Input Multiple Output (MIMO) antenna module designed f...

Associations between weight gain, integrase inhibitors antiretroviral agents, and gut microbiome in people living with HIV: a cross-sectional study.

Dolutegravir and bictegravir are second-generation HIV integrase strand transfer inhibitors (INSTIs)...

Advancements in the application of MRI radiomics in meningioma.

Meningiomas are among the most common intracranial tumors, and challenges still remain in terms of t...

Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables.

BACKGROUND: Systematic disparities in data collection within electronic health records (EHRs), defin...

Leveraging autoencoder models and data augmentation to uncover transcriptomic diversity of gingival keratinocytes in single cell analysis.

Periodontitis, a chronic inflammatory condition of the periodontium, is associated with over 60 syst...

Predictive value of machine learning for radiation pneumonitis and checkpoint inhibitor pneumonitis in lung cancer patients: a systematic review and meta-analysis.

Some studies have developed machine learning (ML) models for the prediction of pneumonitis following...