Latest AI and machine learning research in cultural competence for healthcare professionals.
Accurate and reliable crop yield prediction before harvest is essential for informed decision-making, food security, resource optimization, climate change mitigation, and smart agricultural systems. Deep learning has significantly improved accuracy in predicting crop yields as compared to conventional methods. However, some challenges such as unstable gradients, single-model constraint, limited ge...
This study aims to systematically identify the discriminative features between robotic and natural handwriting and explore how contextual conditions influence the classification accuracy of two groups of discriminators: forensic document examiners and nonexaminers. Repeated measures ANOVA was utilized to analyze the main effect of contextual conditions (blind classification, informed quantity cont...
BACKGROUND: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and confers a four to fivefold increase in ischemic stroke risk, ...
Bacteria use antagonistic interbacterial weapons, such as polymorphic toxin secretion systems (TSS), to compete for niches in the human gut microbiome...
"First, do no harm" is a fundamental principle in health care, and clinical researchers carefully monitor adverse drug reactions to ensure patient saf...
Accurate epigenomic profiling is essential for understanding chromatin and gene regulation. Cleavage Under Targets & Tagmentation (CUT&Tag) enables ef...
The reliability and ethical use of artificial intelligence (AI) in medicine fundamentally depend on the integrity of underlying data. This peer-review...
BACKGROUND: Artificial Intelligence (AI) is increasingly applied in healthcare and is often linked to patient empowerment. However, biases in data, al...
Large language models (LLMs) are increasingly explored for clinical text summarization from electronic health records (EHRs), where they could reduce ...
Active learning promises to provide an optimal training sample selection procedure in the construction of machine learning models. It often relies on ...
BACKGROUND: Deep learning (DL)-based denoising methods have shown promise for reducing radiation dose and/or acquisition time in pediatric PET imaging...
BACKGROUND: Data quality is the degree to which data are fit for their intended purpose and is described using quality dimensions. The increased use o...
BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer morbidity and mortality worldwide. The complexity of guideline-concordant care and un...
Indigenous Cannabis sativa populations exhibit remarkable diversity in their flowering-time responses to photoperiod cues, reflecting adaptation to va...
Evolutionary studies in bacteria have emphasized genetic and metabolic diversity, while cell-size variation has received less attention. Here we intro...
INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on second...
The rapid integration of artificial intelligence (AI) and machine learning into predictive toxicology has transformed chemical hazard identification, ...
Video-based assignments are used in medical education, yet expert scoring is time-intensive. Large language models (LLMs) offer scalable alternatives,...
BACKGROUND: Although artificial intelligence (AI) is increasingly adopted in health care, clinicians face barriers, including insufficient understandi...
BACKGROUND: The internet, social media, and digital health tools have transformed access and receipt of medicines information (MI), complementing or r...