Artificial Intelligence Medical Compendium

The hidden allergic reactions and cumulative toxic effects caused by antibiotic residues in aquatic products have become significant public health concerns. Among these, tetracycline antibiotics (TCs) pose considerable ecological risks and health thr... read more 

Patients tend to lose the ability to smile during the course of dementia. However, such impairments have rarely been reported, likely due to challenges in quantifying facial expressions. However, feature extraction is now automated due to recent deve... read more 

Cone-beam computed tomography (CBCT) enables real-time three-dimensional imaging for patients, which is of great significance in improving the precision of radiotherapy and interventional procedures. Sparse-view CBCT, which can relax the readout rate... read more 

Nanoparticles have become essential in nanomedicine due to their tunable physicochemical properties and multifunctional capabilities, particularly in biomedical imaging for early disease detection and real-time therapeutic monitoring. Nevertheless, t... read more 

BACKGROUND AND OBJECTIVE: Three-dimensional (3D) computational fluid dynamics simulations of cardiovascular flows provide high-fidelity hemodynamic predictions to support cardiovascular medicine, but require substantial computational resources, limit... read more 

Cardiac amyloidosis (CA) poses a significant prognostic challenge due to its varied presentations and frequent delays in identification. While traditional prognosticators, such as cardiac biomarkers and imaging parameters, offer valuable information,... read more 

Accurate prediction and regulation of greenhouse gas (GHG) emissions during composting are essential for mitigating global warming. Herein, two multi-model machine learning frameworks were developed based on Gradient Boosting Regression, Extreme Grad... read more 

While hematoxylin and eosin (H&E) staining remains the gold standard for pathological diagnosis, its chemical-dependent workflow presents significant limitations, such as time-consuming protocols, hazardous reagent disposal and batch-to-batch variabi... read more 

The construction sector contributes significantly to greenhouse gas emissions, yet designers often lack tools that make life cycle assessment (LCA) accessible during routine decision-making. This study presents an AI-augmented framework that embeds a... read more 

Long COVID is a chronic, multisystem disease with limited response to conventional treatments. While low-dose methylprednisolone has shown effectiveness in some patients, individual responses vary, and accurate predictive tools are lacking. This retr... read more