AI Medical Compendium

Automation in value-based laboratory medicine: driving precision, capacity, and better outcomes.

Clinical chemistry and laboratory medicine Jan 15, 2026

Laboratory medicine lies at the core of modern healthcare, enabling timely diagnosis, effective patient monitoring, and increasingly personalized therapeutic strategies. Over the past decades, automation has profoundly reshaped the role of clinical l... read more

Correlation of Automated in Vivo Image Quality With Radiologist's Performance in Abdomen Computed Tomography Across Conventional and Deep Learning Reconstructions.

Journal of computer assisted tomography Jan 15, 2026

OBJECTIVE: Image quality evaluation in radiology is most relevant when reflects radiologists' performance. This study assessed how image quality measurement in terms of in vivo-characterized detectability index () for low-contrast liver lesion assess... read more

A Review of Recent Developments in Artificial Intelligence and Big Data Technologies for Ophthalmology Referrals and Clinical Practice.

Medical science monitor : international medical journal of experimental and clinical research Jan 15, 2026

Ophthalmology is undergoing rapid transformation through the integration of smart technologies such as artificial intelligence (AI), big data analytics, and clinical decision support systems (CDSS). With increasing pressure to improve clinical effici... read more

Humans Artificial Intelligence Algorithms Electronic Health Records Big Data Decision Support Systems, Clinical Ophthalmology Referral and Consultation Eye Diseases

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

Artificial Intelligence Medical Compendium