Latest AI and machine learning research in cultural competence for healthcare professionals.
Wine fermentation remains inherently variable because of the genetic and phenotypic diversity of Saccharomyces cerevisiae and non-Saccharomyces yeasts, microbial interactions, and climate-driven shifts in grape composition, challenging predictable and low-intervention winemaking. Recent population genomics advances, including telomere-to-telomere assemblies and pan-genome analyses of yeast genomes...
Artificial intelligence (AI) has shown promise in dermatology, offering accurate and non-invasive diagnosis of skin cancer. While extensive research has addressed skin-tone bias, gender bias in dermatologic AI remains underexplored, potentially perpetuating diagnostic disparities. In this study, we developed LesionAttn, an algorithm designed to mitigate gender bias by directing model attention tow...
AIMS: To compare the predictive accuracy of machine learning models versus traditional statistical models for predicting and detecting long-term compl...
BACKGROUND: Artificial intelligence large language models (LLMs) are increasingly used to inform clinical decisions but sometimes exhibit human-like c...
BACKGROUND: Psoriatic arthritis is a chronic inflammatory arthropathy that affects up to 22% of individuals with psoriasis. Identifying patients at hi...
INTRODUCTION: This systematic review evaluates the stage-specific diagnostic accuracy of artificial intelligence (AI) models for caries detection and ...
Social media offers large-scale access to mental health discourse, enabling population-level insights into distress, support-seeking, and community dy...
BACKGROUND: Language barriers between health care providers and patients can compromise communication quality, patient safety, and health care equity....
Data scarcity, inter-institutional stain variability, and privacy constraints are major challenges impeding the development of generalizable artificia...
BACKGROUND: Although artificial intelligence (AI) is increasingly transforming healthcare systems, its systematic integration into undergraduate medic...
INTRODUCTION: Conventional risk scores like EuroSCORE II and Society of Thoracic Surgeons models, derived from logistic regression, may not fully repr...
Artificial intelligence (AI) is transforming segmentation tasks in radiotherapy, but model reliability remains a critical concern, particularly for tu...
INTRODUCTION: The integration of artificial intelligence (AI) into healthcare is transforming nursing practice, introducing both opportunities and cha...
OBJECTIVES: Predictive models are increasingly used to support the clinical management of dengue, but their performance varies widely across settings....
INTRODUCTION: Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay in diagnosis and treatment can lead to organ dysf...
Fecal samples have been frequently used to investigate ulcerative colitis (UC)-related gut microbiota study due to their easy availability. However, w...
Child diversity has become an increasingly relevant topic in developmental science with significant methodological and applied implications. Clusterin...
Artificial intelligence (AI) is rapidly reshaping genomic medicine, yet its benefits remain unevenly distributed due to the profound under-representat...
As artificial intelligence (AI) models become increasingly integrated into facial aesthetic surgery for attractiveness prediction and surgical outcome...
BACKGROUND: Older survivors of cancer face heightened risk of depression and anxiety related to cancer experiences, fear of recurrence, and aging-rela...