Artificial Intelligence Medical Compendium

Determining molecular markers that mediate clinically aggressive phenotypes in prostate cancer is a significant challenge. While traditional linear models offer some interpretability, they often lack the precision needed for complex multi-omics data.... read more 

Antimicrobial resistance (AMR) has emerged as one of the most critical global public health crises, causing an estimated 700,000 deaths annually according to the World Health Organization. Achieving early, rapid, and accurate detection and identifica... read more 

BACKGROUND: Indirect methods for estimating clinical reference intervals (RIs) use statistical analysis to identify non-pathological sub-distributions within large datasets acquired from routine clinical testing. This approach has the potential to ac... read more 

BACKGROUND: Clinical named entity recognition (NER) is essential for structuring clinical narratives. While large language model (LLM)-based in-context learning (ICL) enables parameter-free adaptation, encoder-based fine-tuning has generally achieved... read more 

Chronic kidney disease (CKD) is a complicated global health disease that causes serious health issues like kidney failure and heart-related problems. These complications make the conditions worse for the patients and also increase the mortality rate ... read more 

Ground level ozone (O3) concentrations have shown a persistent upward trend in urban megacities over the past decade, despite substantial reductions in primary pollutant emissions through regulatory and technological interventions. Unlike primary pol... read more 

Freshwater reservoirs are essential for ecological stability, biodiversity preservation, and resource sustainability. Managing water quality effectively poses challenges due to complex environmental pressures and limitations in traditional monitoring... read more 

BACKGROUND: Insulin resistance (IR) indices like the TyG index are predictors of type 2 diabetes (T2DM), but their comparative performance across BMI categories in East Asians is unclear. METHODS: This retrospective cohort study enrolled 114,293 Chin... read more 

OBJECTIVE: To develop and evaluate deep learning-based 3D models (CNN, Transformer, and Mamba architectures) for automated segmentation of pulp, primary, and permanent dental structures in pediatric CBCT scans with mixed dentition. METHODS: A total o... read more 

Drug-drug interactions represent a key problem for drug research, development, and clinical practice. It is crucial to accurately predict interactions when drugs combine to improve treatment safety and optimize medication regimens. However, the expon... read more