AI Medical Compendium

Intraoperative neurophysiological monitoring (IONM) in neurosurgery: A critical appraisal of established practices, ongoing controversies, and future trajectories.

Journal of anesthesia and translational medicine May 16, 2026

Intraoperative neurophysiological monitoring (IONM) has evolved from a novel technique into an evidence-based standard treatment method for high-risk neurosurgical and spinal surgeries. Its effectiveness is based on two interrelated pillars: optimize... read more

Experimental dataset of sub-critical cylinder wake velocity fields.

Scientific data May 16, 2026

Deep learning is of growing interest to the fluids community due its potential applications for real-time prediction and control. Indeed, whereas computational fluid dynamics solvers are prohibitively time-intensive for real-time implementation, deep... read more

Quantum-enhanced federated blockchain for privacy-preserving cardiovascular intelligence.

Scientific reports May 16, 2026

Cardio-Vascular Diseases (CvDs) persist as a significant mortality reason worldwide, which requires advanced risk categorization technologies that can offer custom medicine while protecting patient information. Present healthcare approaches must over... read more

Integrated single-cell and bulk transcriptomic analyses unveil a necroptosis-related prognostic model and its association with tumor microenvironment remodeling in gastric cancer.

Discover oncology May 16, 2026

BACKGROUND: Necroptosis has emerged as a critical regulator in tumor progression and therapeutic response, yet its prognostic significance and influence on the tumor microenvironment (TME) in gastric cancer (GC) remain poorly characterized. Therefore... read more

Interpretable machine learning methods based on oscillometry and electric modeling for the diagnostic of respiratory dysfunction in silicosis.

BMC medical informatics and decision making May 16, 2026

PURPOSE: Silicosis, the most dangerous and common lung illness associated with breathing in mineral dust, is a significant health concern. Although Respiratory Oscillometry and electrical models are powerful methods to evaluate the respiratory system... read more

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

Artificial Intelligence Medical Compendium