Artificial Intelligence Medical Compendium

This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based framework for efficient and meaningful unsupervised learning in medical imaging, focusing on Alzheimer's disease (AD) using brain MRI from the ADNI datab... read more 

In real-world temporal knowledge graphs, relationships among entities often exhibit complex temporal dynamics. Effectively modeling multi-hop temporal relation chains and enabling interpretable reasoning remain core challenges in temporal knowledge g... read more 

The continuous evolution of food analysis is being pushed by the integration of cutting-edge liquid and gas chromatography-tandem mass spectrometry (LC-MS/MS and GC-MS/MS), which have transcended the limitations of traditional analytical techniques t... read more 

Reactive nitrogen species (RNS, e.g., NO2•, NO•, and NH2•) are generated in many natural and engineered water systems but their roles on micropollutant degradation are largely overlooked. Experimental determination of micropollutants' reactivity towa... read more 

Tire-derived chemicals (TDCs) are emerging contaminants of escalating ecological concern. This study presents a comprehensive investigation into the occurrence, partitioning behavior, and environmental risks of TDCs in the Greater Bay Area, one of th... read more 

Venous thromboembolism is a major preventable complication among orthopedic inpatients, yet existing risk scores and correlation-driven models often miss complex physiological interactions and provide limited interpretability. We propose Causal-Aware... read more 

In this study, pregnant mice were exposed to dietary Di(2-ethylhexyl) phthalate (DEHP) (0.1 % or 0.2 %) from gestational day (GD) 0 to GD18, and maternal liver metabolomes were profiled by GC-MS/MS-based metabolomics followed by bioinformatics analys... read more 

BACKGROUND CONTEXT: Current severity assessment methods for cervical spondylotic myelopathy (CSM) overlook asymptomatic gait dysfunction and potential heterogeneous gait impairment. Also, gait alterations for disease progression remain inadequately c... read more 

OBJECTIVES: Accurate mandibular canal (MC) identification on cone-beam computed tomography (CBCT) is vital to prevent inferior alveolar nerve injury during oral and maxillofacial procedures. Manual segmentation is time-consuming and operator-dependen... read more 

Melanoma, an aggressive form of skin cancer, demands innovative immunotherapeutic strategies to improve patient outcomes. This review explores recent advances in melanoma immunotherapy, with a particular focus on vaccination as a promising approach. ... read more