AI Medical Compendium

The Impact of Artificial Intelligence on Radiology Specialty Preferences Among Canadian Medical Students and Residents.

Academic radiology May 26, 2026

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is playing an increasingly significant role in radiology While prior studies examined medical student perceptions of AI, they predate recent advances and don't capture resident perspectives. This... read more

Synthetic computed tomography of the head from magnetic resonance imaging based on latent diffusion model.

Academic radiology May 26, 2026

RATIONALE AND OBJECTIVES: Magnetic resonance imaging (MRI) is widely used in head scans. However, MRI lacks electron density information, which is inherent to computed tomography (CT). This study aimed to synthesize head CT from MRI using latent diff... read more

Machine Learning Model Predicts Clinical Adverse Events of Small Molecule Kinase Inhibitors in Cancer Patients Using On-/Off-Target Engagement and Tissue Selectivity.

Clinical pharmacology and therapeutics May 26, 2026

Adverse events (AEs) of small molecule kinase inhibitors (SMKIs) at therapeutic doses in cancer patients are largely unpredictable in phase I-III studies and clinical use, despite extensive preclinical toxicity testing under good laboratory practice ... read more

Applications, Progress, and Challenges of Surfactants in Chemical Mechanical Polishing for Copper Interconnects.

Langmuir : the ACS journal of surfaces and colloids May 26, 2026

With the continuous advancement of integrated circuits (ICs), copper (Cu) interconnects require chemical-mechanical polishing (CMP) with high planarization accuracy, low defect density, and strict corrosion control. Surfactants are crucial components... read more

Advanced Quantitative CT for Coronary Artery Disease: Integrating Stenosis-, Plaque Quantification, and FFR-CT.

The British journal of radiology May 26, 2026

Coronary artery disease (CAD) continues to be a leading cause of death globally. Radiological evaluation of CAD generally consists of stenosis detection by cardiac computed tomographic angiography (CCTA). However, this approach can be inefficient and... read more

Artificial Intelligence Tools for Diagnosing the Relationship Between the Inferior Alveolar Nerve and the Third Molar: A Systematic Review.

Dento maxillo facial radiology May 26, 2026

OBJECTIVE: To evaluate the diagnostic capability of artificial intelligence (AI) compared to human radiographic interpretation in assessing the relationship between the inferior alveolar nerve (IAN) and the third molar. METHODS: The search was conduc... read more

Artificial Intelligence in Neuroradiology: A Review of FDA-regulated Algorithms.

The British journal of radiology May 26, 2026

Artificial intelligence (AI) is increasingly integrated into neuroradiology practice, with a growing number of FDA-cleared algorithms now supporting tasks ranging from acute triage to volumetric analysis. This review provides a structured overview of... read more

Integrated transcriptomic analysis identifies liver aging-driven fibrosis signatures and reveals therapeutic strategies based on medicine-food homology.

NPJ science of food May 26, 2026

Despite its strong regenerative capacity, liver aging paradoxically increases susceptibility to fibrosis and metabolic dysfunction-associated steatotic liver disease through dysregulated inflammation, senescence-associated secretory phenotypes, and i... read more

AI-driven personalization of food systems: From precision nutrition to climate-resilient supply chains.

NPJ science of food May 26, 2026

Traditional large-scale production and standardized interventions cannot address the risks due to individual metabolic diversity, climate change, and supply chain disruptions. This article reviews how artificial intelligence (AI) technology synergist... read more

A deep learning approach for solving a fractional order Monkeypox transmission model using a harmonic neural network optimized with SGDM.

Scientific reports May 26, 2026

This study investigates the transmission dynamics of Monkeypox disease using a Harmonic neural network (HNN) framework optimized through stochastic gradient descent with momentum (SGDM). The proposed HNN-SGDM approach is applied to a nonlinear Monkey... read more

Artificial Intelligence Medical Compendium