AI Medical Compendium

Prognostic Significance of Computed Tomography Severity Score for Machine Learning Prediction of Intensive Care Unit Admission in COVID-19 Patients.

Thoracic research and practice Jan 15, 2026

OBJECTIVE: The computed tomography-severity score (CT-SS) quantifies the severity of pulmonary involvement and is significantly associated with disease severity, intensive care unit (ICU) admissions, and mortality in coronavirus disease-2019 (COVID-1... read more

Artificial Intelligence in Pleural Diseases: Current Applications and Next Steps.

Thoracic research and practice Jan 15, 2026

Pleural diseases pose a significant burden on healthcare systems due to diagnostic challenges and high costs. Artificial intelligence (AI) has the potential to provide faster, more accurate, and more reliable results in the diagnosis of these disease... read more

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 15, 2026

The immune defense function protecting the body from invasive pathogens is a key indicator of an individual's health and lacks of methods for quantitative evaluation. This study introduces ImmuDef, a novel algorithm for precisely and quantitatively a... read more

The bio-corrosion mechanisms, mathematical modelling and machine learning applications in concrete structures: a systematic review.

Biofouling Jan 15, 2026

Concrete is a widely utilised material for infrastructure such as sea-crossing bridges, harbour terminals and sewage pipelines. However, concrete structures are susceptible to various forms of deterioration, including biological and chemical corrosio... read more

Why human empathy and conscience remain indispensable in the age of artificial intelligence.

Postgraduate medical journal Jan 15, 2026

Fast and Interpretable Machine Learning Modeling of Atmospheric Molecular Clusters.

The journal of physical chemistry. A Jan 15, 2026

Understanding how atmospheric molecular clusters form and grow is key to resolving one of the biggest uncertainties in climate modeling: the formation of new aerosol particles. While quantum chemistry offers accurate insights into these early-stage c... read more

Accelerating OLED development with machine learning: advances and prospects.

Chemical communications (Cambridge, England) Jan 15, 2026

Organic light-emitting diodes (OLEDs) have garnered significant attention and demonstrated robust application potential across diverse fields. Traditional OLED material and device research and development-reliant on empirical experimentation and heur... read more

Automated underwater imaging system for continuous biofouling assessment.

Biofouling Jan 15, 2026

Traditional antifouling coating evaluations rely on manual sample retrieval, imaging and subjective visual assessments, which are labour-intensive and constrained by infrequent sampling intervals that may overlook critical fouling developments. This ... read more

Leading large language models on a periodontology knowledge test.

Swiss dental journal Jan 15, 2026

Large language models (LLMs) are increasingly used in clinical and educational settings. However, there is a paucity of data on LLMs' performance in specialized dental domains. This study assessed the performance of four LLMs, including two general-p... read more

Humans Language Educational Measurement Large Language Models Periodontics

Imaging and Quantification of Perivascular Adipose Tissue.

Arteriosclerosis, thrombosis, and vascular biology Jan 15, 2026

Perivascular adipose tissue (PVAT) is a metabolically active tissue that influences vascular function through paracrine signaling of adipokines. Pathologically altered PVAT is associated with proinflammatory, pro-oxidative, and proatherogenic signali... read more

Artificial Intelligence Medical Compendium