AI Medical Compendium

Emerging trends in artificial intelligence research in lymphedema: An evaluation in light of bibliometric and altmetric data.

Phlebology May 16, 2026

BackgroundThis study aims to systematically evaluate the current landscape of artificial intelligence (AI) and machine learning applications in lymphedema research by employing bibliometric and altmetric analyses. The goal is to identify major trends... read more

Early Risk Stratification for Mechanical Ventilation in Acute Ischemic Stroke: Development and Validation of a Simplified Clinical Score.

Journal of intensive care medicine May 16, 2026

Background and PurposeMechanical ventilation (MV) occurs in a substantial subset of acute ischemic stroke (AIS) hospitalizations and is associated with worse outcomes, including prolonged hospital stay. Large national studies evaluating clinical pred... read more

Prediction Model for Delirium in Patients with Sepsis-Associated Liver Injury: An Interpretable Machine Learning Approach.

Journal of intensive care medicine May 16, 2026

BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a severe complication strongly linked with poor neurological outcomes. Early identification remains challenging, as existing predictive tools lack specifici... read more

Ambient Artificial Intelligence Scribes: A Scoping Review With Implications for Otolaryngology.

The Laryngoscope May 16, 2026

BACKGROUND/OBJECTIVE: Ambient artificial intelligence scribing, "ambient AI," is expanding across ambulatory specialties. Despite adoption, the impact on documentation efficiency, usability, and implications for otolaryngology remain poorly understoo... read more

Active Ruthenium-Based High-Entropy Nanozyme Through a "Chemical Tongue" for Recognizing Bioactive Components in Honeysuckle.

Analytical chemistry May 16, 2026

The accurate identification and discrimination of multiple endogenous bioactive ingredients in medicinal and edible honeysuckle are of considerable importance for food quality control and human health. Herein, the integration of a high-entropy nanozy... read more

Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies.

Analytical chemistry May 16, 2026

Staphylococcus aureus causes life-threatening bacterial infections. Current diagnostics for bone infection consist of invasive sample collection and lengthy microbial culture; available blood tests are not effective in the orthopedic context. To addr... read more

Biological and Biomedical Applications of Optical Photothermal Infrared Spectroscopy (O-PTIR).

Applied spectroscopy May 16, 2026

Optical photothermal infrared (O-PTIR) spectroscopy is rapidly transforming molecular imaging by combining the chemical specificity of infrared absorption with the high spatial resolution enabled by visible-light excitation. This review provides a co... read more

Machine learning-driven integration of multi-omics data uncovers methylation-dependent molecular signatures for luminal A and B breast cancer subtypes.

Epigenomics May 16, 2026

BACKGROUND: Breast cancer is the most common malignancy in women and includes molecular subtypes with distinct clinical outcomes, such as luminal A and luminal B. Although luminal tumors account for most cases, the epigenetic mechanisms differentiati... read more

Health Risk Assessment for Rare Earth Ions: From End Point Identification of Cytotoxicity to Mixed Toxicity Prediction.

Environmental science & technology May 16, 2026

Rare earth elements (REEs) are emerging contaminants with escalating environmental releases. However, REE health risk assessment faces critical challenges due to inconsistent cytotoxicity benchmarks and complex multielement exposures. Here, we develo... read more

Machine Learning-Guided Pore Engineering of Metal-Organic Frameworks for Ultrahigh Volumetric Methane Storage.

Journal of the American Chemical Society May 16, 2026

The high volumetric storage of methane under mild conditions remains a central challenge for the practical implementation of adsorbed natural gas technologies. Here, we report a machine learning (ML)-guided strategy that integrates large-scale comput... read more

Artificial Intelligence Medical Compendium